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Article

New Hermite–Hadamard Inequalities in Fuzzy-Interval Fractional Calculus and Related Inequalities

by
Muhammad Bilal Khan
1,
Pshtiwan Othman Mohammed
2,*,
Muhammad Aslam Noor
1 and
Y. S. Hamed
3
1
Department of Mathematics, COMSATS University Islamabad, Islamabad 44000, Pakistan
2
Department of Mathematics, College of Education, University of Sulaimani, Sulaimani, 46001, Kurdistan Region, Iraq
3
Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
*
Author to whom correspondence should be addressed.
Symmetry 2021, 13(4), 673; https://doi.org/10.3390/sym13040673
Submission received: 13 March 2021 / Revised: 2 April 2021 / Accepted: 7 April 2021 / Published: 13 April 2021
(This article belongs to the Special Issue Functional Equations and Analytic Inequalities)

Abstract

:
It is a familiar fact that inequalities have become a very popular method using fractional integrals, and that this method has been the driving force behind many studies in recent years. Many forms of inequality have been studied, resulting in the introduction of new trend in inequality theory. The aim of this paper is to use a fuzzy order relation to introduce various types of inequalities. On the fuzzy interval space, this fuzzy order relation is defined level by level. With the help of this relation, firstly, we derive some discrete Jensen and Schur inequalities for convex fuzzy interval-valued functions (convex fuzzy-IVF), and then, we present Hermite–Hadamard inequalities ( H H -inequalities) for convex fuzzy-IVF via fuzzy interval Riemann–Liouville fractional integrals. These outcomes are a generalization of a number of previously known results, and many new outcomes can be deduced as a result of appropriate parameter “ γ ” and real valued function “ Ω ” selections. We hope that our fuzzy order relations results can be used to evaluate a number of mathematical problems related to real-world applications.

1. Introduction

A real valued function Q : T is called convex on the interval T if the condition
Q ( ϱ 𝓏 + ( 1 ϱ ) y   ) ϱ Q ( 𝓏 ) + ( 1 ϱ ) Q ( y ) ,
holds for all   𝓏 ,   y T and ϱ [ 0 ,   1 ] . We say that Q is concave if Q is convex.
The concept of convexity in the sense of integral problems is a fascinating area for research. Therefore, many inequalities have been introduced as applications of convex functions such as Gagliardo–Nirenberg-type inequality [1], Ostrowski-type inequality [2], Olsen-type inequality [3], midpoint-type inequality [4] Hardy-type inequality [5], and trapezoidal-type inequality [6]. Among those, the Hermite–Hadamard inequality is an interesting outcome in convex analysis. The 𝐻𝐻-inequality [7,8] for convex function Q : T on an interval T = [ u ,   ν ] is defined in the following way:
Q ( u + ν 2 ) 1 ν u   u ν Q ( 𝓏 ) d 𝓏 Q ( u )   +   Q ( ν ) 2 ,
for all     u ,   ν T . If Q is concave, then inequality (2) is reversed. For more useful details, see [9,10] and the references therein.
In 2013, Sarika et al. [11] introduced the following fractional H H -inequality for convex function:
Q ( u + ν 2 ) Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q ( ν ) + ν α   Q ( u ) ] Q ( u ) + Q ( ν ) 2 .
where Q : T = [ u ,   ν ] assumed to be a positive function on [ u ,   ν ] , Q L 1 ( [ u ,   ν ] ) with u   ν , and u + α and ν α are the left sided and right sided Riemann–Liouville fractional of order 0 α , and, respectively, are defined as follows:
u + α   Q ( 𝓏 ) = 1 Γ ( α ) u 𝓏 ( 𝓏 ϱ ) α 1 Q ( ϱ ) d ( ϱ )         ( 𝓏 > u ) ,
ν α   Q ( 𝓏 ) = 1 Γ ( α ) 𝓏 ν ( ϱ 𝓏 ) α 1 Q ( ϱ ) d ( ϱ )         ( 𝓏 < ν ) .
If α = 1 , then from Equation (3), we obtain Equation (2). We can easily say that inequality (3) is a generalization of inequality (2). Many fractional inequalities have been introduced by several authors in the view of inequality (3) for different convex and nonconvex functions.
In 1966, the concept of interval analysis was first introduced by the late American mathematician Ramon E. Moore in [9]. Since its inception, various authors in the mathematical community have paid close attention to this area of research. Interval analysis has been found to be useful in global optimization and constraint solution algorithms, according to experts. It has slowly risen in popularity over the last few decades. Scientists and engineers engaged in scientific computation have discovered that interval analysis is useful, especially in terms of accuracy, round-off error affects, and automatic validation of results. After the invention of interval analysis, the researchers working in the area of inequalities wants to know whether the inequalities in the abovementioned results can be found substituted with the inclusions relation. In certain cases, the question is answered correctively. In light of this, Zhao et al. [12] arrived at the following conclusion for an interval-valued function (IVF).
Let Q : [ u ,   ν ] K C + be a convex IVF given by Q ( 𝓏 ) = [ Q * ( 𝓏 ) ,   Q * ( 𝓏 ) ] for all 𝓏 [ u ,   ν ] , where Q * ( 𝓏 ) is a convex function and   Q * ( 𝓏 ) is a concave function. If Q is Riemann integrable, then
Q ( u + ν 2 ) 1 ν u   ( I R ) u ν Q ( 𝓏 ) d 𝓏 Q ( u ) +   Q ( ν ) 2 .
After that, several authors developed a strong relationship between inequalities and IVFs by means of an inclusion relation via different integral operators, as one can see in Costa [13], Costa and Roman-Flores [14], Roman-Flores et al. [15,16], and Chalco-Cano et al. [17,18], but also in more general set valued maps by Nikodem et al. [19], and Matkowski and Nikodem [20]. In particular, Zhang et al. [21] derived the new version of Jensen’s inequalities for set-valued and fuzzy set-valued functions by means of a pseudo order relation, and proved that these Jensen’s inequalities are a generalized form of Costa Jensen’s inequalities [13].
In the last two decades, in the development of pure and applied mathematics, fractional calculus has played a key role. Yet, it attains magnificent deliberation in the ongoing research work; this is because of its applications in various directions such as image processing, signal processing, physics, biology, control theory, computer networking, and fluid dynamics [22,23,24,25].
For inclusion relation, Budek [26] established the following strong relation between convex IVF and interval H H -inequality as a counter part of (6)
Q ( u + ν 2 ) Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q ( ν ) + ν α   Q ( u ) ] Q ( u ) + Q ( ν ) 2 .
where Q : T = [ u ,   ν ] K C + is assumed to be a positive IVF on [ u ,   ν ] , Q L 1 ( [ u ,   ν ] ,   K C + ) with u   ν , and u + α and ν α are the left sided and right sided Riemann–Liouville fractional of order 0 α .
If α = 1 , then from (7), we obtain (6). We can easily say that inequality (7) is a generalization of inequality (6). Many fractional inequalities have been introduced by several authors in the view of inequality (7) for different convex- and nonconvex-IVFs.
Due to the vast applications of convexity and fractional 𝐻𝐻-inequality in mathematical analysis and optimization, many authors have discussed the applications, refinements, generalizations, and extensions, see [27,28,29,30,31,32,33,34,35,36,37,38] and the references therein.
Recently, fuzzy interval analysis and fuzzy interval differential equations have been put forward to deal the ambiguity originating from insufficient data in some mathematical or computer models that find out real-world phenomena [39,40,41,42,43,44,45,46,47,48,49,50]. There are some integrals to deal with fuzzy-IVFs, where the integrands are fuzzy-IVFs for instance; recently, Costa et al. [13] derived some Jensen’s integral inequality for IVFs and fuzzy-IVFs through Kulisch–Miranker and fuzzy order relation, see [47]. Recently, Allahviranloo et al. [48] introduced the following fuzzy interval Riemann–Liouville fractional integral operators:
Let α > 0 and L ( [ u ,   ν ] , F 0 ) be the collection of all Lebesgue measurable fuzzy-IVFs on [ u , ν ] . Then, the fuzzy interval left and right Riemann–Liouville fractional integral of Q L ( [ u ,   ν ] , F 0 ) with order α > 0 are defined by
u + α   Q ( 𝓏 ) = 1 Γ ( α ) u 𝓏 ( 𝓏 ϱ ) α 1 Q ( ϱ ) d ( ϱ ) ,         ( 𝓏 > u ) ,
and
ν α   Q ( 𝓏 ) = 1 Γ ( α ) 𝓏 ν ( ϱ 𝓏 ) α 1 Q ( ϱ ) d ( ϱ ) ,         ( 𝓏 < ν ) ,
respectively, where Γ ( 𝓏 ) = 0 ϱ 𝓏 1 u ϱ d ( ϱ ) is the Euler γ function. The fuzzy interval left and right Riemann–Liouville fractional integral 𝓏 based on left and right end point functions can be defined as
[ u + α   Q ( 𝓏 ) ] γ = 1 Γ ( α ) u 𝓏 ( 𝓏 ϱ ) α 1 Q γ ( ϱ ) d ( ϱ ) = 1 Γ ( α ) u 𝓏 ( 𝓏 ϱ ) α 1 [ Q * ( ϱ ,   γ ) , Q * ( ϱ ,   γ ) ] d ( ϱ ) ,   ( 𝓏 > u ) ,  
where
u + α   Q * ( 𝓏 ,   γ ) = 1 Γ ( α ) u 𝓏 ( 𝓏 ϱ ) α 1 Q * ( ϱ ,   γ ) d ( ϱ ) ,       ( 𝓏 > u ) ,
and
u + α   Q * ( 𝓏 ,   γ ) = 1 Γ ( α ) u 𝓏 ( 𝓏 ϱ ) α 1 Q * ( ϱ ,   γ ) d ( ϱ ) ,     ( 𝓏 > u ) .
Similarly, we can define right Riemann–Liouville fractional integral Q of 𝓏 based on left and right end point functions.
Motivated by the ongoing research work and by the importance of the concept of fuzzy convexity, in Section 2, we have discussed the preliminary notions, definitions and some related results. Section 3, introduces discrete Jensen and Schur inequalities for convex fuzzy-IVF by means of fuzzy order relation. Basically, these inequalities are generalizations of convex fuzzy IVFs. Section 4 derives the most important class of H H -inequalities for convex fuzzy IVFs, known as fuzzy interval fractional H H -inequalities, and establishes some related inequalities.

2. Preliminaries

In this section, we first give some definitions, preliminary notations, and results which will be helpful for further study. Then, we define new definitions and discuss some properties of convex fuzzy-IVFs.
Let K C be the space of all closed and bounded intervals of and η K C be defined by
η = [ η * ,   η * ] = { 𝓏 |   η * 𝓏 η * } , ( η * ,   η * ) .
If η * = η * , then η is said to be degenerate. In this article, all intervals will be non-degenerate intervals. If η * 0 , then [ η * ,   η * ] is called a positive interval. The set of all positive intervals is denoted by K C + and defined as K C + = { [ η * ,   η * ] : [ η * ,   η * ] K C   and   η * 0 } .
Let ϱ and ϱ η be defined by
ϱ . η   = { [ ϱ η * ,   ϱ η * ]   if   ϱ 0 , [ ϱ η * , ϱ η * ]     if   ϱ < 0   .
Then, the Minkowski difference ξ η , addition η + ξ and η × ξ for η , ξ K C are defined by
[ ξ * ,   ξ * ] [ η * ,   η * ]   = [ ξ * η * ,     ξ * η * ] ,     [ ξ * ,   ξ * ] + [ η * ,   η * ]   = [ ξ * + η * ,     ξ * + η * ] ,
and
The inclusion “ ” means that
ξ η   if   and   only   if , [ ξ * ,   ξ * ] [ η * ,   η * ]   if   and   only   if ,   η * ξ * ,   ξ * η * .
Remark 1.
[47] The relation I defined on K C by
[ 𝓇 * ,   𝓇 * ] I [ η * ,   η * ]   if   and   only   if   𝓇 * η * ,     𝓇 * η * ,
for all [ 𝓇 * ,   𝓇 * ] , [ η * ,   η * ] K C , it is an order relation. For given   [ 𝓇 * ,   𝓇 * ] , [ η * ,   η * ] K C , we say that [ 𝓇 * ,   𝓇 * ] I [ η * ,   η * ] if and only if 𝓇 * η * , 𝓇 * η * or 𝓇 * η * , 𝓇 * < η * .
For [ ξ * ,   ξ * ] , [ η * ,   η * ] I , the Hausdorff–Pompeiu distance between intervals [ ξ * ,   ξ * ] and [ η * ,   η * ] is defined by
d ( [ ξ * ,   ξ * ] ,   [ η * ,   η * ] ) = m a x { [ ξ * ,   ξ * ] ,   [ η * ,   η * ] } .
It is a familiar fact that ( I , d ) is a complete metric space.
Let be the set of real numbers. A fuzzy subset A of is characterized by a mapping ζ : [ 0 , 1 ] called the membership function, for each fuzzy set and γ ( 0 ,   1 ] , then γ -level sets of ζ is denoted and defined as follows ζ γ = { u |   ζ ( u ) γ } . If γ = 0 , then s u p p ( ζ ) = { 𝓏 |   ζ ( 𝓏 ) 0 } is called support of ζ . By [ ζ ] 0 we define the closure of s u p p ( ψ ) .
Let F ( ) be the family of all fuzzy sets and ζ F ( ) denote the family of all nonempty sets. ζ F ( ) is a fuzzy set. Then, we define the following:
(1)
ζ is said to be normal if there exists 𝓏 and ζ ( 𝓏 ) = 1 ;
(2)
ζ is said to be upper semicontinuous on if for given 𝓏 , there exist ε > 0 there exist δ > 0 such that ζ ( 𝓏 ) ζ ( y ) < ε for all y with | 𝓏 y | < δ ;
(3)
ζ is said to be fuzzy convex if ζ γ is convex for every γ [ 0 ,   1 ] ;
(4)
ζ is compactly supported if s u p p ( ζ ) is compact.
A fuzzy set is called a fuzzy number or fuzzy interval if it has properties (1)–(4). We denote by F 0 the family of all intervals.
Let ζ F 0 be a fuzzy interval if and only if γ -levels [ ζ ] γ is a nonempty compact convex set of . From these definitions, we have
[ ζ ] γ = [ ζ * ( γ ) ,   ζ * ( γ ) ] ,
where
ζ * ( γ ) = i n f { 𝓏 |   ζ ( 𝓏 ) γ } ,   ζ * ( γ ) = s u p { 𝓏 |   ζ ( 𝓏 ) γ } .
Proposition 1.
[14] If ζ , η F 0 , then relation defined on F 0 by
ζ η   if   and   only   if ,   [ ζ ] γ I [ η ] γ ,   for   all   γ [ 0 ,   1 ] ,
this relation is known as partial order relation.
For ζ , η F 0 and ϱ , the sum ζ + ˜ η , product ζ × ˜ η , scalar product ϱ . ζ and sum with scalar are defined by:
Then, for all γ [ 0 ,   1 ] , we have
[ ζ + ˜ η ] γ   = [ ζ ] γ + [ η ] γ ,
[ ζ × ˜ η ] γ = [ ζ ] γ × [   η ] γ ,
[ ϱ . ζ ] γ = ϱ . [ ζ ] γ .
[ ϱ + ˜   ζ ] γ = ϱ + [ ζ ] γ .
For ψ F 0 such that ζ = η + ˜ ψ , then by this result we have existence of Hukuhara difference of ζ and η , and we say that ψ is the H-difference of ζ and η , and denoted by ζ ˜ η . If H-difference exists, then
( ψ ) * ( γ ) = ( ζ ˜ η ) * ( γ ) = ζ * ( γ ) η * ( γ ) , ( ψ ) * ( γ ) = ( ζ ˜ η ) * ( γ ) = ζ * ( γ ) η * ( γ ) .
A partition of [ u , ν ] is any finite ordered subset P having the form
P = { u = 𝓏 1 <   𝓏 2 <   𝓏 3 < 𝓏 4 <   𝓏 5 , < 𝓏 k = ν } .
The mesh of a partition P is the maximum length of the subintervals containing P that is,
mash ( P ) = m a x { 𝓏 j   𝓏 j 1 :   j = 1 , 2 , 3 k } .
Let P ( δ ,   [ u ,   ν ] ) be the set of all P P ( δ ,   [ u ,   ν ] ) such that mesh ( P ) < δ . For each interval [ 𝓏 j 1 , 𝓏 j ] , where 1 j k , choose an arbitrary point η j and taking the sum
S ( Q , P ,   δ ) = j = 1 k Q ( η j ) ( 𝓏 j 𝓏 j 1 ) ,
where Q : [ u , ν ] I . We call S ( Q , P ,   δ ) a Riemann sum of Q corresponding to P P ( δ ,   [ u ,   ν ] ) .
Definition 1.
[10] A function Q : [ u , ν ] I is called interval Riemann integrable ( I R -integrable) on [ u , ν ] if there exists B I such that, for each ϵ , there exists δ > 0 such that
d ( S ( Q , P ,   δ ) ,   B ) < ϵ ,
for every Riemann sum of Q corresponding to P P ( δ ,   [ u ,   ν ] ) and for arbitrary choice of η j [ 𝓏 j 1 ,     𝓏 j ] for 1 j k . Then, we say that B is the I R -integral of Q on [ u , ν ] and is denoted by B = ( I R ) u ν Q ( 𝓏 ) d 𝓏 .
Moore [9] first proposed the concept of Riemann integral for IVF, and it is defined as follows:
Theorem 1.
[9] If Q : [ u , ν ] I is an IVF on such that Q ( 𝓏 ) = [ Q * ,   Q * ] . Then, Q is Riemann integrable over [ u , ν ] if and only if Q * and Q * are both Riemann integrable over [ u , ν ] such that
( I R ) u ν Q ( 𝓏 ) d 𝓏 =   [ ( R ) u ν Q * ( u ) d 𝓏 ,   ( R ) u ν Q * ( u ) d 𝓏 ] .
The collection of all Riemann integrable real valued functions and Riemann integrable IVF is denoted by [ c ,   d ] and [ c ,   d ] , respectively.
Definition 2.
[30] A fuzzy map Q : K F 0 is called fuzzy-IVF. For each γ [ 0 ,   1 ] , whose γ -levels define the family of IVFs Q γ : K K C are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 K . Here, for each γ [ 0 ,   1 ] , the left and right real valued functions Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) : K are also called lower and upper functions of Q .
Remark 2.
If Q : K F 0 is a fuzzy-IVF, then Q ( 𝓏 ) is called continuous function at 𝓏 K , if for each γ [ 0 ,   1 ] , both left and right real valued functions Q * ( 𝓏 , γ ) and Q * ( 𝓏 , γ ) are continuous at 𝓏 K .
The following conclusion can be drawn from the above literature review, see [10,14,30]:
Definition 3.
Let Q : [ c ,   d ] F 0 is called fuzzy-IVF. The fuzzy Riemann integral of Q over [ c ,   d ] , denoted by ( F R ) c d Q ( 𝓏 ) d 𝓏 , it is defined level by level
[ ( F R ) c d Q ( 𝓏 ) d 𝓏 ] γ = ( I R ) c d Q γ ( 𝓏 ) d 𝓏 = { c d Q ( 𝓏 , γ ) d 𝓏 : Q ( 𝓏 , γ ) [ c ,   d ] } ,
for all γ [ 0 ,   1 ] , where [ c ,   d ] contains the family of left and right functions of IVFs. Q is ( F R ) -integrable over [ c ,   d ] if ( F R ) c d Q ( 𝓏 ) d 𝓏 F 0 . Note that, if left and right real valued functions are Lebesgue-integrable, then Q is fuzzy Aumann-integrable over [ c ,   d ] , denoted by ( F A ) c d Q ( 𝓏 ) d 𝓏 , see [30].
Theorem 2.
Let   Q : [ c ,   d ] F 0 be a fuzzy-IVF, whose γ -levels obtain the collection of IVFs Q γ : [ c ,   d ] K C are defined by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 [ c ,   d ] and for all γ [ 0 ,   1 ] . Then, Q is ( F R ) -integrable over [ c ,   d ] if and only if Q * ( 𝓏 , γ ) and Q * ( 𝓏 , γ ) both are R -integrable over [ c ,   d ] . Moreover, if Q is ( F R ) -integrable over [ c ,   d ] , then
[ ( F R ) c d Q ( 𝓏 ) d 𝓏 ] γ =   [ ( R ) c d Q * ( 𝓏 , γ ) d 𝓏 ,   ( R ) c d Q * ( 𝓏 , γ ) d 𝓏 ] = ( I R ) c d Q γ ( 𝓏 ) d 𝓏 ,
for all γ [ 0 ,   1 ] . For each γ [ 0 ,   1 ] ,   ( [ c ,   d ] ,   γ ) and   ( [ c ,   d ] ,   γ ) denote the collection of all ( F R ) -integrable fuzzy-IVFs and, R -integrable left and right functions over [ c ,   d ] .
Definition 4.
[4] A real valued function Q : [ u ,   ν ] + is called P -convex function if
Q ( ϱ x + ( 1 ϱ ) y ) Q ( x ) + Q ( y ) ,
for all   x ,   y [ u ,   ν ] ,   ϱ [ 0 ,   1 ] . If (27) is reversed, then Q is called P -concave.
Definition 5.
[6] The fuzzy-IVF Q : [ u ,   ν ] F 0 is called convex fuzzy-IVF on   [ u ,   ν ] if
Q ( ϱ x + ( 1 ϱ ) y   ) ϱ Q ( x ) + ˜ ( 1 ϱ ) Q ( y ) ,
for all   x ,   y [ u ,   ν ] ,   ϱ [ 0 ,   1 ] . where Q ( 𝓏 ) 0 ˜ for all 𝓏 [ u ,   ν ] . If (28) is reversed, then Q is called concave fuzzy-IVF on [ u ,   ν ] . Q is affine if and only if it is both convex and concave fuzzy-IVF.
Remark 3.
If Q * ( 𝓏 , γ ) = Q * ( 𝓏 , γ ) and γ = 1 , then we obtain the inequality (1).

3. Fuzzy-Interval Jensen and Schur Inequalities

In this section, the discrete Jensen and Schur inequalities for convex fuzzy-IVF are proposed. Firstly, we give the following results connected with Jensen inequality for convex fuzzy-IVF by means of fuzzy order relation.
Theorem 3.
(Jensen inequality for convex fuzzy-IVF) Let 𝓌 j + , u j [ u ,   ν ] , ( j = 1 ,   2 ,   3 ,   , k ,   k 2 ) and Q : [ u ,   ν ] F 0 be a convex fuzzy-IVF, whose γ -levels define the family of IVFs Q γ : [ u ,   ν ] K C + are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ ( 0 ,   1 ] . Then,
Q ( 1 W k j = 1 k 𝓌 j u j ) j k 𝓌 j W k Q ( u j ) ,
where W k = j = 1 k 𝓌 j . If Q is concave, then inequality (29) is reversed.
Proof. 
When k = 2 then inequality (29) is true. Consider inequality (28) is true for k = n 1 , then
Q ( 1 W n 1 j = 1 n 1 𝓌 j u j ) j = 1 n 1 𝓌 j W n 1 Q ( u j ) .
Now, let us prove that inequality (29) holds for k = n .
Q ( 1 W n j = 1 n 𝓌 j u j ) = Q ( 1 W n j = 1 n 2 𝓌 j u j + 𝓌 n 1 + 𝓌 n W n ( 𝓌 n 1 𝓌 n 1 + 𝓌 n u n 1 + 𝓌 n 𝓌 n 1 + 𝓌 n u n ) )
Therefore, for each   γ [ 0 ,   1 ] , we have
Q * ( 1 W n j = 1 n 𝓌 j u j , γ ) = Q * ( 1 W n j = 1 n 2 𝓌 j u j + 𝓌 n 1 + 𝓌 n W n ( 𝓌 n 1 𝓌 n 1 + 𝓌 n u n 1 + 𝓌 n 𝓌 n 1 + 𝓌 n u n ) , γ ) j = 1 n 2 𝓌 j W n Q * ( u j , γ ) + 𝓌 n 1 + 𝓌 n W n Q * ( ( 𝓌 n 1 𝓌 n 1 + 𝓌 n u n 1 + 𝓌 n 𝓌 n 1 + 𝓌 n u n ) , γ )       j = 1 n 2 𝓌 j W n Q * ( u j , γ ) + 𝓌 n 1 + 𝓌 n W n [   𝓌 n 1 𝓌 n 1 + 𝓌 n Q * ( u n 1 , γ ) + 𝓌 n 𝓌 n 1 + 𝓌 n Q * ( u n , γ ) ] j = 1 n 2 𝓌 j W n Q * ( u j , γ ) + [ 𝓌 n 1 W n Q * ( u n 1 , γ ) + 𝓌 n W n Q * ( u n , γ ) ]         = j = 1 n 𝓌 j W n Q * ( u j , γ ) .  
Similarly, for Q * ( 𝓌 , γ ) , we have
Q * ( 1 W n j = 1 n 𝓌 j u j , γ ) j = 1 n 𝓌 j W n Q * ( u j , γ ) .
From (30) and (31), we have
[ Q * ( 1 W n j = 1 n 𝓌 j u j , γ ) ,   Q * ( 1 W n j = 1 n 𝓌 j u j , γ ) ] I [ j = 1 n 𝓌 j W n Q * ( u j , γ ) ,   j = 1 n 𝓌 j W n Q * ( u j , γ ) ] ,
that is,
Q ( 1 W n j = 1 n 𝓌 j u j ) j = 1 n 𝓌 j W n Q ( u j ) ,
and the theorem has been proved. □
If 𝓌 1 = 𝓌 2 = 𝓌 3 =   = 𝓌 k = 1 , then Theorem 3 reduces to the following result:
Corollary 1.
Let u j [ u ,   ν ] , ( j = 1 ,   2 ,   3 ,   , k ,   k 2 ) and Q : [ u ,   ν ] F 0 be a convex fuzzy-IVF, whose γ -levels define the family of IVFs Q γ : [ u ,   ν ] K C + are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ ( 0 ,   1 ] . Then,
Q ( 1 W n j = 1 n 𝓌 j u j ) J = 1 k 1 k Q ( u j ) .
If Q is a concave fuzzy-IVF, then inequality (32) is reversed.
The next Theorem 4 gives the Schur inequality for convex fuzzy-IVFs.
Theorem 4.
(Schur inequality for convex fuzzy-IVF)Let Q : [ u ,   ν ] F 0 be a convex fuzzy-IVF, whose γ -levels define the family of IVFs Q γ : [ u ,   ν ] K C + are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ [ 0 ,   1 ] . If, for u 1 ,   u 2 ,   u 3 [ u ,   ν ] , such that u 1 <   u 2 < u 3 and u 3 u 1 , u 3 u 2 , u 2 u 1 [ 0 ,   1 ] , we have
( u 3 u 1 ) Q ( u 2 ) ( u 3 u 2 ) Q ( u 1 ) + ( u 2 u 1 ) Q ( u 3 ) .
If Q is concave, then inequality (33) is reversed.
Proof. 
Let u 1 ,   u 2 ,   u 3 [ u ,   ν ] and u 3 u 1 > 0 . Consider ϱ = u 3 u 2 u 3 u 1 , then u 2 = ϱ u 1 +   ( 1 ϱ ) u 3 . Since Q is a convex fuzzy-IVF, then, by hypothesis, we have
Q ( u 2 ) u 3 u 2 u 3 u 1 Q ( u 1 ) + u 2 u 1 u 3 u 1 Q ( u 3 ) .
Therefore, for each γ [ 0 ,   1 ] , we have
Q * ( u 2 , γ ) u 3 u 2 u 3 u 1 Q * ( u 1 , γ ) + u 2 u 1 u 3 u 1 Q * ( u 3 , γ ) .
From (34), we have
( u 3 u 1 ) Q * ( u 2 , γ ) ( u 3 u 2 ) Q * ( u 1 , γ ) + ( u 2 u 1 ) Q * ( u 3 , γ ) .
Similarly, for Q * ( 𝓌 , γ ) , we have
( u 3 u 1 ) Q * ( u 2 , γ ) ( u 3 u 2 ) Q * ( u 1 , γ ) + ( u 2 u 1 ) Q * ( u 3 , γ ) .  
From (35) and (36), we have
[ ( u 3 u 1 ) Q * ( u 2 , γ ) ,   ( u 3 u 1 ) Q * ( u 2 , γ ) ] I [ ( u 3 u 2 ) Q * ( u 1 , γ ) + ( u 2 u 1 ) Q * ( u 3 , γ ) ,     ( u 3 u 2 ) Q * ( u 1 , γ ) + ( u 2 u 1 ) Q * ( u 3 , γ ) ] .
That is
( u 3 u 1 ) Q ( u 2 ) ( u 3 u 2 ) Q ( u 1 ) + ( u 2 u 1 ) Q ( u 3 ) .
Hence, the result has been proved. □
Now we obtain a refinement of Schur inequality for convex fuzzy-IVF is given in the following result.
Theorem 5.
Let 𝓌 j + , u j [ u ,   ν ] , ( j = 1 ,   2 ,   3 ,   , k ,   k 2 ) and Q : [ u ,   ν ] F 0 be a convex fuzzy-IVF, whose γ -levels define the family of IVFs Q γ : [ u ,   ν ] K C + are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ [ 0 ,   1 ] . If ( L ,   U ) [ u , ν ] ,   then
j = 1 k 𝓌 j W k Q ( u j ) j = 1 k ( ( U u j U L ) ( 𝓌 j W k ) Q ( L , γ ) + ( u j L U L ) ( 𝓌 j W k ) Q ( U , γ ) ) ,
where W k = j = 1 k 𝓌 j . If Q is concave, then inequality (37) is reversed.
Proof. 
Consider = u 1 ,   u j = u 2 , ( j = 1 ,   2 ,   3 ,   , k ) , U = u 3 . Then, by hypothesis, we have
Q ( u j ) U u j U L Q ( L , γ ) + u j L U L Q ( U , γ ) .
Therefore, for each   γ [ 0 ,   1 ] , we have
Q * ( u j , γ ) U u j U L Q * ( L , γ ) + u j L U L Q * ( U , γ ) .
Above inequality can be written as,
𝓌 j W k Q * ( u j , γ ) ( U u j U L ) ( 𝓌 j W k ) Q * ( L , γ ) + ( u j L U L ) ( 𝓌 j W k ) Q * ( U , γ ) .
Taking sum of all inequalities (38) for j = 1 ,   2 ,   3 ,   k , we have
j = 1 k 𝓌 j W k Q * ( u j , γ ) j = 1 k ( ( U u j U L ) ( 𝓌 j W k ) Q * ( L , γ ) + ( u j L U L ) ( 𝓌 j W k ) Q * ( U , γ ) ) .
Similarly, for Q * ( 𝓌 , γ ) , we have
j = 1 k 𝓌 j W k Q * ( u j , γ ) j = 1 k ( ( U u j U L ) ( 𝓌 j W k ) Q * ( L , γ ) + ( u j L U L ) ( 𝓌 j W k ) Q * ( U , γ ) ) .
From (39) and (40), we have
j = 1 k 𝓌 j W k [ Q ( u j ) ] γ = [ j = 1 k 𝓌 j W k Q * ( u j , γ ) ,     j = 1 k 𝓌 j W k Q * ( u j , γ ) ] I [ j = 1 k ( ( U u j U L ) ( 𝓌 j W k ) Q * ( L , γ ) + ( u j L U L ) ( 𝓌 j W k ) Q * ( U , γ ) ) ,       j = 1 k ( ( U u j U L ) ( 𝓌 j W k ) Q * ( L , γ ) + ( u j L U L ) ( 𝓌 j W k ) Q * ( U , γ ) ) ] , I j = 1 k ( U u j U L ) ( 𝓌 j W k ) [ Q * ( L , γ ) ,     Q * ( L , γ ) ] + j = 1 k ( U u j U L ) ( 𝓌 j W k ) [ Q * ( U , γ ) , Q * ( U , γ ) ] , = j = 1 k ( U u j U L ) ( 𝓌 j W k ) Q ( L , γ ) + j = 1 k ( U u j U L ) ( 𝓌 j W k ) Q ( U , γ ) .
Thus,
j = 1 k 𝓌 j W k Q ( u j ) j = 1 k ( ( U u j U L ) ( 𝓌 j W k ) Q ( L ) + ( u j L U L ) ( 𝓌 j W k ) Q ( U ) ) ,
this completes the proof. □
We now consider some special cases of Theorems 3 and 5.
If Q * ( 𝓌 , γ ) = Q * ( 𝓌 , γ ) with γ = 1 , then Theorems 3 and 5 reduce to the following results:
Corollary 2.
(Jensen inequality for convex function) Let   𝓌 j + , u j [ u ,   ν ] , ( j = 1 ,   2 ,   3 ,   , k ,   k 2 ) and let Q : [ u ,   ν ] + be a non-negative real-valued function. If Q is a convex function, then
Q ( 1 W k j = 1 k 𝓌 j u j ) j = 1 k 𝓌 j W k Q ( u j ) ,
where W k = j = 1 k 𝓌 j . If Q is concave function, then inequality (41) is reversed.
Corollary 3.
Let 𝓌 j + , u j [ u ,   ν ] , ( j = 1 ,   2 ,   3 ,   , k ,   k 2 ) , and Q : [ u ,   ν ] + be a non-negative real-valued function. If Q is a convex function and u 1 ,   u 2 , , u j ( L ,   U ) [ u , ν ] ,   then
j = 1 k 𝓌 j W k Q ( u j ) j = 1 k ( ( U u j U L ) ( 𝓌 j W k ) Q ( L ) + ( u j L U L ) ( 𝓌 j W k ) Q ( U ) ) ,
where W k = j = 1 k 𝓌 j . If Q is a concave function, then inequality (42) is reversed.

4. Fuzzy-Interval Fractional Hermite–Hadamard Inequalities

In this section, we shall continue with the following fractional H H -inequality for convex fuzzy-IVFs, and we also give fractional H H –Fejér inequality for convex fuzzy-IVF through fuzzy order relation. In what follows, we denote by L ( [ u ,   ν ] , F 0 ) the family of Lebesgue measurable fuzzy-IVFs.
Theorem 6.
Let Q : [ u ,   ν ] F 0 be a convex fuzzy-IVF on [ u ,   ν ] , whose γ -levels define the family of IVFs Q γ : [ u ,   ν ] K C + are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ [ 0 ,   1 ] . If Q L ( [ u ,   ν ] , F 0 ) , then
Q ( u + ν 2 ) Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q ( ν ) + ˜ ν α   Q ( u ) ] Q ( u ) + ˜ Q ( ν ) 2 .
If Q ( 𝓌 ) is concave fuzzy-IVF, then
Q ( u + ν 2 ) Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q ( ν ) + ˜ ν α   Q ( u ) ] Q ( u ) + ˜ Q ( ν ) 2 .
Proof. 
Let Q : [ u ,   ν ] F 0 be a convex fuzzy-IVF. Then, by hypothesis, we have
2 Q ( u + ν 2 ) Q ( ϱ u + ( 1 ϱ ) ν ) + ˜ Q ( ( 1 ϱ ) u + ϱ ν ) .
Therefore, for every γ [ 0 ,   1 ] , we have
2 Q * ( u + ν 2 ,   γ ) Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) + Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) .    
Multiplying both sides by ϱ α 1 and integrating the obtained result with respect to ϱ over ( 0 , 1 ) , we have
2 0 1 ϱ α 1 Q * ( u + ν 2 ,   γ ) d ϱ                         0 1 ϱ α 1 Q * ( ϱ u + ( 1 ϱ ) ν , γ ) d ϱ + 0 1 ϱ α 1 Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) d ϱ .    
Let 𝓌 = ϱ u + ( 1 ϱ ) ν and y = ( 1 ϱ ) u + ϱ ν . Then, we have
2 α Q * ( u + ν 2 ,   γ )   1 ( ν u ) α   u ν ( ν y ) α 1 Q * ( y , γ ) d y + 1 ( ν u ) α u ν ( 𝓌 u ) α 1 Q * ( 𝓌 , γ ) d z   Γ ( α ) ( ν u ) α [ u + α   Q * ( ν ,   γ ) + ν α   Q * ( u ,   γ ) ] .
Similarly, for Q * ( 𝓌 , γ ) , we have
2 α Q * ( u + ν 2 ,   γ ) Γ ( α ) ( ν u ) α [ u + α   Q * ( ν ,   γ ) + ν α   Q * ( u ,   γ ) ] .
From (45) and (46), we have
2 α [ Q * ( u + ν 2 ,   γ ) ,   Q * ( u + ν 2 ,   γ ) ]        I Γ ( α ) ( ν u ) α [ [ u + α   Q * ( ν ,   γ ) + ν α   Q * ( u ,   γ ) ] ,   [ u + α   Q * ( ν ,   γ ) + ν α   Q * ( u ,   γ ) ] ] .
That is
2 α   Q ( u + ν 2 ) Γ ( α ) ( ν u ) α [ u + α   Q ( ν ) + ˜ ν α   Q ( u ) ] .
In a similar way as above, we have
Γ ( α ) ( ν u ) α [ u + α   Q ( ν ) + ˜ ν α   Q ( u ) ] Q ( u ) + ˜ Q ( ν ) α .
Combining (47) and (48), we have
Q ( u + ν 2 ) Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q ( ν ) + ˜ ν α   Q ( u ) ] Q ( u ) + ˜ Q ( ν ) 2 .
Hence, the required result. □
Remark 4.
From Theorem 6 we clearly see that
Let α = 1 . Then, Theorem 6 reduces to the result for convex-IVF given in [31]:
Q ( u + ν 2 ) 1 ν u   ( F R ) u ν Q ( 𝓏 ) d 𝓏 Q ( u ) + Q ( ν ) 2 .
If Q * ( 𝓏 ,   γ ) = Q * ( 𝓏 ,   γ ) and γ = 1 , then from Theorem 6 we get inequality (3).
Let α = 1 = γ and Q * ( 𝓏 ,   γ ) = Q * ( 𝓏 ,   γ ) . Then, from Theorem 6 we obtain inequality (2).
Example 1.
Let α = 1 2 ,   𝓏 [ 2 , 3 ] , and the fuzzy-IVF Q : [ u ,   ν ] = [ 2 ,   3 ] F 0 , defined by
Q ( 𝓏 ) ( θ ) = { θ 2 𝓏 1 2                             θ [ 0 ,   2 𝓏 1 2 ]   2 ( 2 𝓏 1 2 ) θ 2 𝓏 1 2       θ ( 2 𝓏 1 2 ,   2 ( 2 𝓏 1 2 ) ]   0                           otherwise ,
Then, for each γ [ 0 ,   1 ] , we have Q γ ( 𝓏 ) = [ γ ( 2 𝓏 1 2 ) , ( 2 γ ) ( 2 𝓏 1 2 ) ] . Since left and right end point functions Q * ( 𝓏 , γ ) = γ ( 2 𝓏 1 2 ) , Q * ( 𝓏 ,   γ ) = ( 2 γ ) ( 2 𝓏 1 2 ) are convex functions for each γ [ 0 ,   1 ] , then Q ( 𝓏 ) is convex fuzzy-IVF. We clearly see that Q L ( [ u ,   ν ] , F 0 ) and
Q * ( u + ν 2 ,   γ ) = Q * ( 5 2 ,   γ ) = γ 4 10 2 Q * ( u + ν 2 ,   γ ) = Q * ( 5 2 ,   γ ) = ( 2 γ ) 4 10 2 Q * ( u , γ ) + Q * ( ν ,   γ ) 2   = γ ( 4 2 3 2 ) Q * ( u , γ ) + Q * ( ν ,   γ ) 2 = ( 2 γ ) ( 4 2 + 3 2 ) .
Note that
Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q * ( ν ,   γ ) + ν α   Q * ( u , γ ) ] = Γ ( 3 2 ) 2 1 π 2 3 ( 3 𝓏 ) 1 2   .   γ ( 2 𝓏 1 2 ) d 𝓏 + Γ ( 3 2 ) 2 1 π 2 3 ( 𝓏 2 ) 1 2   .   γ ( 2 𝓏 1 2 ) d 𝓏 = 1 4 γ [ 7393 10 , 000 + 9501 10 , 000 ] = γ 8447 20 , 000 .
Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q * ( ν ,   γ ) + ν α   Q * ( u , γ ) ] = Γ ( 3 2 ) 2 1 π 2 3 ( 3 𝓏 ) 1 2   .   ( 2 γ ) ( 2 𝓏 1 2 ) d 𝓏 + Γ ( 3 2 ) 2 1 π 2 3 ( 𝓏 2 ) 1 2   .   ( 2 γ ) ( 2 𝓏 1 2 ) d 𝓏 = 1 4 ( 2 γ ) [ 7393 10 , 000 + 9501 10 , 000 ] = ( 2 γ ) 8447 20 , 000
Therefore
[ γ 4 10 2 , ( 2 γ ) 4 10 2 ] I [ γ 8447 20 , 000 , ( 2 γ ) 8447 20 , 000 ] I [ γ ( 4 2 3 2 ) , ( 2 γ ) ( 4 2 + 3 2 ) ] ,
and Theorem 6 is verified.
Now, we derive fractional HH–Fejér inequality for convex fuzzy-IVF, which generalize the classical fractional H H and H H –Fejér inequality. Firstly, we give the following result connected with the right part of the classical H H –Fejér inequality for convex fuzzy-IVF through fuzzy order relation, which is known as second fuzzy fractional H H –Fejér inequality.
Theorem 7.
Second fuzzy fractional H H –Fejér inequality) Let Q : [ u ,   ν ] F 0 be a convex fuzzy-IVF with u <   ν , whose γ -levels define the family of IVFs Q γ : [ u ,   ν ] K C + are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ [ 0 ,   1 ] . If Q L ( [ u ,   ν ] , F 0 ) and Ω : [ u ,   ν ] ,   Ω ( 𝓏 ) 0 , symmetric with respect to u + ν 2 , then
[ u + α   Q Ω ( ν ) + ˜ ν α   Q Ω ( u ) ] Q ( u ) + ˜ Q ( ν ) 2 [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] .
If Q is concave fuzzy-IVF, then inequality (49) is reversed.
Proof. 
Let Q be a convex fuzzy-IVF and ϱ α 1 Ω ( ϱ u + ( 1 ϱ ) ν ) 0 . Then, for each γ [ 0 ,   1 ] , we have
ϱ α 1 Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) Ω ( ϱ u + ( 1 ϱ ) ν ) ϱ α 1 ( ϱ Q * ( u ,   γ ) + ( 1 ϱ ) Q * ( ν ,   γ ) ) Ω ( ϱ u + ( 1 ϱ ) ν ) ,
and
ϱ α 1 Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) Ω ( ( 1 ϱ ) u + ϱ ν ) ϱ α 1 ( ( 1 ϱ ) Q * ( u ,   γ ) + ϱ Q * ( ν ,   γ ) ) Ω ( ( 1 ϱ ) u + ϱ ν ) .
After adding (50) and (51), and integrating over [ 0 ,   1 ] , we get
  0 1 ϱ α 1 Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) Ω ( ϱ u + ( 1 ϱ ) ν ) d ϱ                             + 0 1 ϱ α 1 Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ               0 1 [ ϱ α 1 Q * ( u ,   γ ) { ϱ Ω ( ϱ u + ( 1 ϱ ) ν ) + ( 1 ϱ ) Ω ( ( 1 ϱ ) u + ϱ ν ) } + ϱ α 1 Q * ( ν ,   γ ) { ( 1 ϱ ) Ω ( ϱ u + ( 1 ϱ ) ν ) + ϱ Ω ( ( 1 ϱ ) u + ϱ ν ) } ] d ϱ , = Q * ( u ,   γ ) 0 1 ϱ α 1 Ω ( ϱ u + ( 1 ϱ ) ν ) d ϱ + Q * ( ν ,   γ ) 0 1 ϱ α 1 Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ .
Since Ω is symmetric, then
= [ Q * ( u ,   γ ) + Q * ( ν ,   γ ) ] 0 1 ϱ α 1 Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ .
= Q * ( u ,   γ ) + Q * ( ν ,   γ ) 2 Γ ( α ) ( ν u ) α [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] .
Since
0 1 ϱ α 1 Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ   + 0 1 ϱ α 1 Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ = 1 ( ν u ) α   u ν ( 𝓏 u ) α 1 Q * ( u ν 𝓏 , γ ) Ω ( 𝓏 ) d 𝓏     + 1 ( ν u ) α   u ν ( 𝓏 u ) α 1 Q * ( 𝓏 , γ ) Ω ( 𝓏 ) d 𝓏     = 1 ( ν u ) α   u ν ( ν u ) α 1 Q * ( 𝓏 , γ ) Ω ( u ν 𝓏 ) d 𝓏     + 1 ( ν u ) α   u ν ( 𝓏 u ) α 1 Q * ( 𝓏 , γ ) Ω ( 𝓏 ) d 𝓏 = Γ ( α ) ( ν u ) α [ u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ] .      
Then, from (53), we have
Γ ( α ) ( ν u ) α [ u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ] Q * ( u ,   γ ) + Q * ( ν ,   γ ) 2 Γ ( α ) ( ν u ) α [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] .  
Similarly, for Q * ( 𝓌 , γ ) , we have
Γ ( α ) ν u ) α [ u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ]   Q * ( u ,   γ ) + Q * ( ν ,   γ ) 2 Γ ( α ) ( ν u ) α [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] .
From (54) and (55), we have
Γ ( α ) ( ν u ) α [ u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ,     u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ] I Γ ( α ) ( ν u ) α [ Q * ( u ,   γ ) + Q * ( ν ,   γ ) 2 ,   Q * ( u ,   γ ) + Q * ( ν ,   γ ) 2 ] [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] .
That is
[ u + α   Q Ω ( ν ) + ˜ ν α   Q Ω ( u ) ] Q ( u ) + ˜ Q ( ν ) 2 [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] .
Now, we obtain the following result connected with left part of classical H H –Fejér inequality for convex fuzzy-IVF through fuzzy order relation, which is known as first fuzzy fractional H H –Fejér inequality. □
Theorem 8.
(First fuzzy fractional H H –Fejér inequality) Let Q : [ u ,   ν ] F 0 be a convex fuzzy-IVF with u < ν , whose γ -levels define the family of IVFs Q γ : [ u ,   ν ] K C + are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ [ 0 ,   1 ] . If Q   L ( [ u ,   ν ] , F 0 ) and Ω : [ u ,   ν ] ,   Ω ( 𝓏 ) 0 , symmetric with respect to u + ν 2 , then
Q ( u + ν 2 ) [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] [ u + α   Q Ω ( ν ) + ν α   Q Ω ( u ) ] .
If Q is concave fuzzy-IVF, then inequality (56) is reversed.
Proof. 
Since Q is a convex fuzzy-IVF, then for γ [ 0 ,   1 ] , we have
    Q * ( u + ν 2 ,   γ ) 1 2 ( Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) + Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) ) .
Since Ω ( ϱ u + ( 1 ϱ ) ν ) = Ω ( ( 1 ϱ ) u + ϱ ν ) , then, by multiplying (57) by ϱ α 1 Ω ( ( 1 ϱ ) u + ϱ ν ) and integrating it with respect to ϱ over [ 0 ,   1 ] , we obtain
Q * ( u + ν 2 ,   γ ) 0 1 ϱ α 1 Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ                   1 2 ( 0 1 ϱ α 1 Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ + 0 1 ϱ α 1 Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ ) .
Let 𝓏 = ( 1 ϱ ) u + ϱ ν . Then, we have
  0 1 ϱ α 1 Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ                 + 0 1 ϱ α 1 Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) Ω ( ( 1 ϱ ) u + ϱ ν ) d ϱ                   = 1 ( ν u ) α   u ν ( 𝓌 u ) α 1 Q * ( u ν 𝓌 , γ ) Ω ( 𝓌 ) d 𝓌                   + 1 ( ν u ) α   u ν ( 𝓌 u ) α 1 Q * ( 𝓌 , γ ) Ω ( 𝓌 ) d 𝓌                     = 1 ( ν u ) α   u ν ( ν u ) α 1 Q * ( 𝓏 , γ ) Ω ( u ν 𝓏 ) d 𝓏                 + 1 ( ν u ) α   u ν ( 𝓏 u ) α 1 Q * ( 𝓌 , γ ) Ω ( 𝓏 ) d 𝓏             = Γ ( α ) ( ν u ) α [ u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ] .            
Then, from (59), we have
Γ ( α ) ( ν u ) α Q * ( u + ν 2 ,   γ ) [ u + α   Ω ( ν ) + ν α   Ω ( u ) ]                         Γ ( α ) ( ν u ) α   [ u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ] .
Similarly, for Q * ( 𝓏 , γ ) , we have
Γ ( α ) ( ν u ) α Q * ( u + ν 2 ,   γ ) [ u + α   Ω ( ν ) + ν α   Ω ( u ) ]                         Γ ( α ) ( ν u ) α   [ u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ] .
From (60) and (61), we have
Γ ( α ) ( ν u ) α [ Q * ( u + ν 2 ,   γ ) ,     Q * ( u + ν 2 ,   γ ) ] [ u + α   Ω ( ν ) + ν α   Ω ( u ) ]                     I Γ ( α ) ( ν u ) α [   u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ,     u + α   Q * Ω ( ν ) + ν α   Q * Ω ( u ) ] ,
that is
Q ( u + ν 2 ) [ u + α   Ω ( ν ) + ν α   Ω ( u ) ]   [ u + α   Q Ω ( ν ) + ν α   Q Ω ( u ) ] .
This completes the proof. □
Remark 5.
If Ω ( 𝓏 ) α = 1 then from Theorem 7 and Theorem 8, we get Theorem 3.
Let α = 1 . Then, we obtain the following H H –Fejér inequality for convex fuzzy-IVF, which is also new one.
Q ( u + ν 2 ) 1 u ν W ( 𝓏 ) d 𝓏   ( F R ) u ν Q ( 𝓏 ) W ( 𝓏 ) d 𝓏 Q ( u ) + Q ( ν ) 2 .
If Q * ( 𝓏 ,   γ ) = Q * ( 𝓏 ,   γ ) and Ω ( 𝓏 ) = α = 1 = γ , then from Theorems 7 and 8, we get the classical H H -inequality (2).
If Q * ( 𝓏 ,   γ ) = Q * ( 𝓏 ,   γ ) and α = 1 , then from Theorems 7 and 8, we obtain the classical H H –Fejér inequality [50].
Example 2.
We consider the fuzzy-IVF Q : [ 0 ,   2 ] F 0 defined by,
Q ( 𝓏 ) ( σ ) = { σ 2 𝓏 ,                                         σ [ 0 ,   2 𝓏 ] , 2 ( 2 𝓏 ) σ 2 𝓏 ,       σ ( 2 𝓏 ,   2 ( 2 𝓏 ) ] ,   0 ,                                                       otherwise .
Then, for each γ [ 0 ,   1 ] , we have Q γ ( 𝓏 ) = [ γ ( 2 𝓏 ) , ( 2 γ ) ( 2 𝓏 ) ] . Since end point functions Q * ( 𝓏 , γ ) , Q * ( 𝓏 , γ ) are convex functions for each γ [ 0 ,   1 ] , then Q ( 𝓏 ) is convex fuzzy-IVF. If
Ω ( 𝓏 ) = { 𝓏 ,             σ [ 0 , 1 ] , 2 𝓏 ,       σ ( 1 ,   2 ] ,  
then Ω ( 2 𝓏 ) = Ω ( 𝓏 ) 0 , for all 𝓏 [ 0 ,   2 ] . Since Q * ( 𝓏 , γ ) = γ ( 2 𝓏 ) and Q * ( 𝓏 , γ ) = ( 2 γ ) ( 2 𝓏 ) . If α = 1 2 , then we compute the following:
Q * ( u ,   γ ) + Q * ( ν ,   γ ) 2 [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] = π   . γ ( 4 2 2 ) ,   Q * ( u ,   γ ) + Q * ( ν ,   γ ) 2 [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] = π . ( 2 γ ) ( 4 2 2 ) ,
and
[ u + α   Q * Ω ( ν ) + ˜ ν α   Q * Ω ( u ) ] = 1 π γ ( 2 π + 4 8 2 3 ) , [ u + α   Q * Ω ( ν ) + ˜ ν α   Q * Ω ( u ) ] = 1 π ( 2 γ ) ( 2 π + 4 8 2 3 ) .
From (62) and (63), we have
1 π [ γ ( 2 π + 4 8 2 3 ) ,   ( 2 γ ) ( 2 π + 4 8 2 3 ) ]   I π 2 [ γ ( 4 2 2 ) ,   ( 2 γ ) ( 4 2 2 ) ] ,
for each γ [ 0 ,   1 ] . Hence, Theorem 8 is verified.
For Theorem 8, we have
Q * ( u + ν 2 ,   γ ) [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] = γ π ,   Q * ( u + ν 2 ,   γ ) [ u + α   Ω ( ν ) + ν α   Ω ( u ) ] = ( 2 γ ) π .
From (63) and (64), we have
π [ γ ,   ( 2 γ ) ]   I 1 π [ γ ( 2 π + 4 8 2 3 ) ,   ( 2 γ ) ( 2 π + 4 8 2 3 ) ] ,   for   each   γ [ 0 ,   1 ] .
From Theorems 9 and 10, we obtain some fuzzy-interval fractional integral inequalities related to fuzzy-interval fractional H H -inequalities.
Theorem 9.
Let Q , P   : [ u ,   ν ] F 0 be two convex fuzzy-IVFs on [ u ,   ν ] , whose γ -levels Q γ ,     P γ : [ u ,   ν ] K C + are defined by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] and P γ ( 𝓏 ) = [ P * ( 𝓏 , γ ) ,   P * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ [ 0 ,   1 ] . If Q ,   P and Q × ˜ P   L ( [ u ,   ν ] , F 0 ) , then
Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q ( ν ) × ˜ P ( ν ) + ν α Q ( u ) × ˜ P ( u ) ] ( 1 2 α ( α + 1 ) ( α + 2 ) ) Δ ( u , ν ) + ˜ ( α ( α + 1 ) ( α + 2 ) ) ( u , ν ) .
where Δ ( u , ν ) = Q ( u ) × ˜ P ( u )   + ˜   Q ( ν ) × ˜ P ( ν ) , ( u , ν ) = Q ( u ) × ˜ P ( ν )   + ˜   Q ( ν ) × ˜ P ( u ) , and Δ γ ( u , ν ) = [ Δ * ( ( u , ν ) ,   γ ) ,   Δ * ( ( u , ν ) ,   γ ) ] and γ ( u , ν ) = [ * ( ( u , ν ) ,   γ ) ,   * ( ( u , ν ) ,   γ ) ] .
Proof. 
Since Q ,   P both are convex fuzzy-IVFs, then for each γ [ 0 ,   1 ] we have
    Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) ϱ Q * ( u , γ ) + ( 1 ϱ ) Q * ( ν ,   γ ) .
and
    P * ( ϱ u + ( 1 ϱ ) ν ,   γ ) ϱ P * ( u , γ ) + ( 1 ϱ ) P * ( ν ,   γ ) .  
From the definition of convex fuzzy-IVFs it follows that 0 ˜ Q ( 𝓏 ) and 0 ˜ P ( 𝓏 ) , so
Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) × P ( ϱ u + ( 1 ϱ ) ν ,   γ )                       ( ϱ Q * ( u , γ ) + ( 1 ϱ ) Q * ( ν ,   γ ) ) ( ϱ P * ( u , γ ) + ( 1 ϱ ) P * ( ν ,   γ ) )                         = ϱ 2 Q * ( u , γ ) × P * ( u , γ ) + ( 1 ϱ ) 2 Q * ( ν ,   γ ) × P * ( ν ,   γ )                               + ϱ ( 1 ϱ ) Q * ( u , γ ) × P * ( ν ,   γ ) + ϱ ( 1 ϱ ) Q * ( ν ,   γ ) × P * ( u , γ ) .
Analogously, we have
Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) P ( ( 1 ϱ ) u + ϱ ν ,   γ )               ( 1 ϱ ) 2 Q * ( u , γ ) × P * ( u , γ ) + ϱ 2 Q * ( ν ,   γ ) × P * ( ν ,   γ )                 + ϱ ( 1 ϱ ) Q * ( u , γ ) × P ( ν ,   γ ) + ϱ ( 1 ϱ ) Q * ( ν ,   γ ) × P * ( u , γ )   .
Adding (65) and (66), we have
Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) × P * ( ϱ u + ( 1 ϱ ) ν ,   γ )                           + Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) × P * ( ( 1 ϱ ) u + ϱ ν ,   γ )                       [ ϱ 2 + ( 1 ϱ ) 2 ] [ Q * ( u , γ ) × P * ( u , γ ) + Q * ( ν ,   γ ) × P * ( ν ,   γ ) ]               + 2 ϱ ( 1 ϱ ) [ Q * ( ν ,   γ ) × P * ( u , γ ) + Q * ( u , γ ) × P * ( ν ,   γ ) ] .
Taking multiplication of (67) by ϱ α 1 and integrating the obtained result with respect to ϱ over (0,1), we have
0 1 ϱ α 1 Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) × P * ( ϱ u + ( 1 ϱ ) ν ,   γ )                 + ϱ α 1 Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) × P * ( ( 1 ϱ ) u + ϱ ν ,   γ ) d ϱ                     Δ * ( ( u , ν ) ,   γ ) 0 1 ϱ α 1 [ ϱ 2 + ( 1 ϱ ) 2 ] d ϱ + 2 * ( ( u , ν ) ,   γ ) 0 1 ϱ α 1 ϱ ( 1 ϱ ) d ϱ .
It follows that,
Γ ( α ) ( ν u ) α [ u + α   Q * ( ν ,   γ ) × P * ( ν ,   γ ) + ν α   Q * ( u , γ ) × P * ( u , γ ) ]                   2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) Δ * ( ( u , ν ) ,   γ ) + 2 α ( α ( α + 1 ) ( α + 2 ) ) * ( ( u , ν ) ,   γ ) .      
Similarly, for Q * ( 𝓏 , γ ) , we have
Γ ( α ) ( ν u ) α [ u + α   Q * ( ν ,   γ ) × P * ( ν ,   γ ) + ν α   Q * ( u , γ ) × P * ( u , γ ) ] .
    2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) Δ * ( ( u , ν ) ,   γ ) + 2 α ( α ( α + 1 ) ( α + 2 ) ) * ( ( u , ν ) ,   γ ) .
From (68) and (69), we have
Γ ( α ) ( ν u ) α [ u + α   Q * ( ν ,   γ ) × P * ( ν ,   γ ) + ν α   Q * ( u , γ ) × P * ( u , γ ) ,     u + α   Q * ( ν ,   γ ) × P * ( ν ,   γ ) + ν α   Q * ( u , γ ) × P * ( u ,   γ ) ]
I 2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) [ Δ * ( ( u , ν ) ,   γ ) ,   Δ * ( ( u , ν ) ,   γ ) ] + 2 α ( α ( α + 1 ) ( α + 2 ) ) [ * ( ( u , ν ) ,   γ ) ,   * ( ( u , ν ) ,   γ ) ] .
That is
Γ ( α + 1 ) 2 ( ν u ) α [ u + α   Q ( ν ) × ˜ P ( ν ) + ν α Q ( u ) × ˜ P ( u ) ] ( 1 2 α ( α + 1 ) ( α + 2 ) ) Δ ( u , ν ) + ˜ ( α ( α + 1 ) ( α + 2 ) ) ( u , ν ) .
and the theorem has been established. □
Example 3.
Let [ u , ν ] = [ 0 , 2 ] , α = 1 2 ,   Q ( 𝓏 ) = [ 𝓏 , 2 𝓏 ] , and P ( 𝓏 ) = [ 𝓏 , 3 𝓏 ] .
Q ( 𝓏 ) ( θ ) = { θ 𝓏                             θ [ 0 ,   𝓏 ]   2 𝓏 θ 𝓏             θ ( z ,   2 z ]   0                           otherwise ,
P ( 𝓏 ) ( θ ) = { θ 2 𝓏                     θ [ 0 ,   2 𝓏 ]   4 𝓏 θ 2 𝓏       θ ( 2 z ,   4 z ]   0                       otherwise .
Then, for each γ [ 0 ,   1 ] , we have Q γ ( 𝓏 ) = [ γ 𝓏 , ( 2 γ ) 𝓏 ] and P γ ( 𝓏 ) = [ 2 γ 𝓏 , 2 ( 2 γ ) 𝓏 ] . Since left and right end point functions Q * ( 𝓏 , γ ) = γ 𝓏 , Q * ( 𝓏 ,   γ ) = ( 2 γ ) 𝓏 , P * ( 𝓏 , γ ) = 2 γ 𝓏 and P * ( 𝓏 ,   γ ) = 2 ( 2 γ ) 𝓏 are convex functions for each γ [ 0 ,   1 ] , then Q ( 𝓏 ) and P ( 𝓏 ) both are convex fuzzy-IVF. We clearly see that Q ( 𝓏 ) × ˜ P ( 𝓏 ) L ( [ u ,   ν ] , F 0 ) and
Γ ( 1 + α ) 2 ( ν u ) α [ u + α   Q * ( ν ) × P * ( ν ) + ν α   Q * ( u ) × P * ( u ) ] = Γ ( 3 2 ) 2 2 1 π 0 2 ( 2 𝓏 ) 1 2   (   2 γ 2 𝓏 2 ) d 𝓏 + Γ ( 3 2 ) 2 2 1 π 0 2 ( 𝓏 ) 1 2     ( 2 γ 2 𝓏 2 ) d 𝓏 2.9332 γ 2 ,
Γ ( 1 + α ) 2 ( ν u ) α [ u + α   Q * ( ν ) × P * ( ν ) + ν α   Q * ( u ) × P * ( u ) ] = Γ ( 3 2 ) 2 2 1 π 0 2 ( 2 𝓏 ) 1 2   .2 ( 2 γ ) 2 𝓏 2 d 𝓏 + Γ ( 3 2 ) 2 2 1 π 0 2 ( 𝓏 ) 1 2     .2 ( 2 γ ) 2 𝓏 2 d 𝓏 2.9332 ( 2 γ ) 2 .
Note that
( 1 2 α ( α + 1 ) ( α + 2 ) ) Δ * ( u , ν ) = [ Q * ( u ) × P * ( u ) + Q * ( ν ) × P * ( ν ) ] = 11 30 .8 γ 2 ,   ( 1 2 α ( α + 1 ) ( α + 2 ) ) Δ * ( u , ν ) = [ Q * ( u ) × P * ( u ) + Q * ( ν ) × P * ( ν ) ] = 11 30 .8 ( 2 γ ) 2 , ( α ( α + 1 ) ( α + 2 ) ) * ( u , ν ) = [ Q * ( u ) × P * ( ν ) + Q * ( ν ) × P * ( u ) ] = 2 15 ( 0 ) , ( α ( α + 1 ) ( α + 2 ) ) * ( u , ν ) = [ Q * ( u ) × P * ( ν ) + Q * ( ν ) × P * ( u ) ] = 2 15 ( 0 ) .
Therefore, we have
( 1 2 α ( α + 1 ) ( α + 2 ) ) Δ γ ( ( u , ν ) ,   γ ) + ( α ( α + 1 ) ( α + 2 ) ) γ ( ( u , ν ) ,   γ ) = 11 30 [ 8 γ 2 , 8 ( 2 γ ) 2 ] + 2 15 [ 0 , 0 ] [ 2.9332 γ 2 , 2.9332 ( 2 γ ) 2 ] .
It follows that
[ 2.9332 γ 2 , 2.9332 ( 2 γ ) 2 ]   I [ 2.9332 γ 2 , 2.9332 ( 2 γ ) 2 ] ,
and Theorem 9 has been demonstrated.
Theorem 10.
Let Q , P   : [ u ,   ν ] F 0 be two convex fuzzy-IVFs, whose γ -levels define the family of IVFs Q γ ,     P : [ u ,   ν ] K C + are given by Q γ ( 𝓏 ) = [ Q * ( 𝓏 , γ ) ,   Q * ( 𝓏 , γ ) ] and P γ ( 𝓏 ) = [ P * ( 𝓏 , γ ) ,   P * ( 𝓏 , γ ) ] for all 𝓏 [ u ,   ν ] and for all γ [ 0 ,   1 ] . If Q × ˜ P L ( [ u ,   ν ] , F 0 ) , then
1 α   Q ( u + ν 2 ) × ˜ P ( u + ν 2 ) Γ ( α + 1 ) 4 ( ν u ) α [ u + α   Q ( ν ) × ˜ P ( ν ) + ν α   Q ( u ) × ˜ P ( u ) ] + 1 2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) ( u , ν ) + 1 2 α ( α ( α + 1 ) ( α + 2 ) ) Δ ( u , ν ) .
where   Δ ( u , ν ) = Q ( u ) × ˜ P ( u )   + ˜   Q ( ν ) × ˜ P ( ν ) , ( u , ν ) = Q ( u ) × ˜ P ( ν )   + ˜   Q ( ν ) × ˜ P ( u ) , and Δ γ ( u , ν ) = [ Δ * ( ( u , ν ) ,   γ ) ,   Δ * ( ( u , ν ) ,   γ ) ] and γ ( u , ν ) = [ * ( ( u , ν ) ,   γ ) ,   * ( ( u , ν ) ,   γ ) ] .
Proof. 
Consider   Q , P   : [ u ,   ν ] F 0 are convex fuzzy-IVFs. Then, by hypothesis, for each γ [ 0 ,   1 ] , we have
Q * ( u + ν 2   , γ ) × P * ( u + ν 2 , γ )   1 4 [ Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) × P * ( ϱ u + ( 1 ϱ ) ν ,   γ ) + Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) × P * ( ( 1 ϱ ) u + ϱ ν ,   γ ) ]     +   1 4 [ Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) × P * ( ϱ u + ( 1 ϱ ) ν ,   γ ) + Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) × P * ( ( 1 ϱ ) u + ϱ ν ,   γ ) ]   1 4 [ Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) × P * ( ϱ u + ( 1 ϱ ) ν ,   γ ) + Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) × P * ( ( 1 ϱ ) u + ϱ ν ,   γ ) ]                                                     +   1 4 [ ( ϱ Q * ( u ,   γ ) + ( 1 ϱ ) Q * ( ν ,   γ ) ) × ( ( 1 ϱ ) P * ( u ,   γ ) + ϱ P * ( ν ,   γ ) ) + ( ( 1 ϱ ) Q * ( u ,   γ ) + ϱ Q * ( ν ,   γ ) ) × ( ϱ P * ( u ,   γ ) + ( 1 ϱ ) P * ( ν ,   γ ) ) ]     = 1 4 [ Q * ( ϱ u + ( 1 ϱ ) ν ,   γ ) × P * ( ϱ u + ( 1 ϱ ) ν ,   γ ) + Q * ( ( 1 ϱ ) u + ϱ ν ,   γ ) × P * ( ( 1 ϱ ) u + ϱ ν ,   γ ) ]     +   1 4 [ { ϱ 2 + ( 1 ϱ ) 2 } * ( ( u , ν ) ,   γ ) + { ϱ ( 1 ϱ ) + ( 1 ϱ ) ϱ } Δ * ( ( u , ν ) ,   γ ) ] .
Taking multiplication of (67) with ϱ α 1 and integrating over ( 0 ,   1 ) , we get
1 α   Q * ( u + ν 2 , γ ) × P * ( u + ν 2 , γ ) 1 4 ( ν u ) α   [ u ν ( ν 𝓏 ) α 1 Q * ( 𝓏 , γ ) × P * ( 𝓏 , γ ) d 𝓏   +   u ν ( y u ) α 1 Q * ( y , γ ) × P * ( y , γ ) d y   ] + 1 2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) * ( ( u , ν ) ,   γ ) + 1 2 α ( α ( α + 1 ) ( α + 2 ) ) Δ * ( ( u , ν ) ,   γ )   = Γ ( α + 1 ) 4 ( ν u ) α [ u + α   Q * ( ν ) × P * ( ν ) + ν α   Q * ( u ) × P * ( u ) ] + 1 2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) * ( ( u , ν ) ,   γ ) + 1 2 α ( α ( α + 1 ) ( α + 2 ) ) Δ * ( ( u , ν ) ,   γ ) .
Similarly, for Q * ( 𝓏 , γ ) , we have
1 α   Q * ( u + ν 2 , γ ) × P * ( u + ν 2 , γ )     Γ ( α + 1 ) 4 ( ν u ) α [ u + α   Q * ( ν ) × P * ( ν ) + ν α   Q * ( u ) × P * ( u ) ]   + 1 2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) * ( ( u , ν ) ,   γ ) + 1 2 α ( α ( α + 1 ) ( α + 2 ) ) Δ * ( ( u , ν ) ,   γ ) .
From (71) and (72), we have
1 α [ Q * ( u + ν 2 , γ ) × P * ( u + ν 2 , γ ) ,   Q * ( u + ν 2 , γ ) × P * ( u + ν 2 , γ ) ] I Γ ( α ) 4 ( ν u ) α [ u + α   Q * ( ν ) × P * ( ν ) + ν α   Q * ( u ) × P * ( u ) ,     u + α   Q * ( ν ) × P * ( ν ) + ν α   Q * ( u ) × P ( u ) ] .         + 1 2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) [ * ( ( u , ν ) ,   γ ) ,   * ( ( u , ν ) ,   γ ) ] + 1 2 α ( α ( α + 1 ) ( α + 2 ) ) [ * ( ( u , ν ) ,   γ ) ,   * ( ( u , ν ) ,   γ ) ] .
That is
1 α   Q ( u + ν 2 ) × ˜ P ( u + ν 2 ) Γ ( α + 1 ) 4 ( ν u ) α [ u + α   Q ( ν ) × ˜ P ( ν ) + ν α   Q ( u ) × ˜ P ( u ) ] + 1 2 α ( 1 2 α ( α + 1 ) ( α + 2 ) ) ( u , ν ) + 1 2 α ( α ( α + 1 ) ( α + 2 ) ) Δ ( u , ν ) .
Hence, the required result. □

5. Conclusions

In this study, we established the Jensen, Schur, H H -inequalities, and
–Fejér inequalities for convex fuzzy-IVF by means of fuzzy order relation and fuzzy-interval Riemann–Liouville fractional integrals. Our results generalize some well-known inequalities. In the future, we intend to use different classes of convex and nonconvex to study the interval-valued and fuzzy-IVFs and some applications in direction interval optimization and fuzzy interval optimization theory as future research directions.
In our final view, we believe that our work can be generalized to other models of fractional calculus such as Atangana–Baleanue and Prabhakar fractional operators with Mittag–Liffler functions in their kernels. We have left this consideration as an open problem for the researchers who are interested in this field. The interested researchers can proceed as done in references [34,35].

Author Contributions

Conceptualization, M.B.K. and M.A.N.; Data curation, P.O.M., Y.S.H.; Formal analysis, M.B.K. and M.A.N.; Funding acquisition, P.O.M.; Investigation, M.B.K., P.O.M., M.A.N. and Y.S.H.; Methodology, P.O.M. and Y.S.H.; Project administration, M.A.N. and Y.S.H.; Resources, M.A.N. and M.B.K.; Supervision, P.O.M. and M.A.N.; Validation, Y.S.H.; Visualization, Y.S.H.; Writing—original draft, M.B.K.; Writing—review & editing, P.O.M., M.B.K. and Y.S.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This work was supported by the Taif University Researchers Supporting Project Number (TURSP-2020/155), Taif University, Taif, Saudi Arabia.

Conflicts of Interest

The authors declare no conflict of interest.

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MDPI and ACS Style

Khan, M.B.; Mohammed, P.O.; Noor, M.A.; Hamed, Y.S. New Hermite–Hadamard Inequalities in Fuzzy-Interval Fractional Calculus and Related Inequalities. Symmetry 2021, 13, 673. https://doi.org/10.3390/sym13040673

AMA Style

Khan MB, Mohammed PO, Noor MA, Hamed YS. New Hermite–Hadamard Inequalities in Fuzzy-Interval Fractional Calculus and Related Inequalities. Symmetry. 2021; 13(4):673. https://doi.org/10.3390/sym13040673

Chicago/Turabian Style

Khan, Muhammad Bilal, Pshtiwan Othman Mohammed, Muhammad Aslam Noor, and Y. S. Hamed. 2021. "New Hermite–Hadamard Inequalities in Fuzzy-Interval Fractional Calculus and Related Inequalities" Symmetry 13, no. 4: 673. https://doi.org/10.3390/sym13040673

APA Style

Khan, M. B., Mohammed, P. O., Noor, M. A., & Hamed, Y. S. (2021). New Hermite–Hadamard Inequalities in Fuzzy-Interval Fractional Calculus and Related Inequalities. Symmetry, 13(4), 673. https://doi.org/10.3390/sym13040673

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