Next Article in Journal
Short-Wave Infrared Spectroscopy for On-Site Discrimination of Hazardous Mineral Fibers Using Machine Learning Techniques
Previous Article in Journal
After the Initial Start of Co-Production: A Narrative Review of the Development of Co-Production and Changes in Orientation
Previous Article in Special Issue
Presence of Humic Acids in Landfill Leachate and Treatment by Flocculation at Low pH to Reduce High Pollution of This Liquid
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sustainability
Volume 17
Issue 3
10.3390/su17030970
sustainability-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Thermochemical Techniques for Disposal of Municipal Solid Waste Based on the Intuitionistic Fuzzy Hypersoft Evaluation Based on the Distance from the Average Solution Technique

by
Rana Muhammad Zulqarnain
1,2,
Hongwei Wang
1,*,
Imran Siddique
3,4,
Rifaqat Ali
5,
Hamza Naveed
6,
Saalam Ali Virk
7 and
Muhammad Irfan Ahamad
8,*
1
School of Economics and Management, Tongji University, No. 1239 Siping Road, Yangpu District, Shanghai 200092, China
2
Department of Mathematics, Saveetha School of Engineering, SIMATS Thandalam, Chennai 602105, Tamilnadu, India
3
Department of Mathematics, University of Sargodha, Sargodha 40100, Pakistan
4
Mathematics in Applied Sciences and Engineering Research Group, Scientific Research Center, Al-Ayen University, Nasiriyah 64001, Iraq
5
Department of Mathematics, Applied College in Mohayil Asir, King Khalid University, Abha 62521, Saudi Arabia
6
Department of Software Engineering, Faculty of Information Technology and Computer Science, University of Central Punjab, Lahore 54000, Pakistan
7
Department of Mathematics, University of Management and Technology, Sialkot 51310, Pakistan
8
College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
*
Authors to whom correspondence should be addressed.
Sustainability 2025, 17(3), 970; https://doi.org/10.3390/su17030970
Submission received: 23 December 2024 / Revised: 21 January 2025 / Accepted: 22 January 2025 / Published: 24 January 2025
(This article belongs to the Special Issue Municipal Solid Waste Management (2nd Edition)—Innovative Solutions and Sustainable Strategies)
Review Reports Versions Notes

Abstract

The processing and disposal of municipal solid waste (MSW) are global problems, particularly in low- to middle-income states like Pakistan. These economic systems will need to tackle problems regarding municipal solid waste disposal to accomplish a sustainable future in waste management. Still, the determination of MSW procedures is frequently influenced by unstable, vague, and inadequately stated criteria. To deal with this issue, we designed an interactive model that uses intuitionistic fuzzy hypersoft sets (IFHSSs) to find the optimal thermochemical processing system for MSW. The main objective of this research is to define interactional operational laws for intuitionistic fuzzy hypersoft numbers and to use these laws to build interaction aggregation operators (AOs) and ordered AOs along with their basic characteristics. Based on developed operators, a novel Evaluation Based on the Distance from the Average Solution (EDAS) technique is proposed to integrate multiple attribute group decision making (MAGDM) issues. The suggested strategy is used to analyze five thermochemical treatment techniques for MSW, using a case study focusing on Pakistan’s particular MSW administration problems to choose the most economical technique. Therefore, the new structure is assessed with established methodologies to illustrate its stability. The comparison of results proves that the implications of the stated approach will be more effective and capable than the existing approaches.
Keywords: intuitionistic fuzzy hypersoft set; interactive aggregation operators; EDAS method; multiple attribute group decision making; thermochemical techniques; municipal solid waste intuitionistic fuzzy hypersoft set; interactive aggregation operators; EDAS method; multiple attribute group decision making; thermochemical techniques; municipal solid waste

Share and Cite

MDPI and ACS Style

Zulqarnain, R.M.; Wang, H.; Siddique, I.; Ali, R.; Naveed, H.; Virk, S.A.; Ahamad, M.I. Thermochemical Techniques for Disposal of Municipal Solid Waste Based on the Intuitionistic Fuzzy Hypersoft Evaluation Based on the Distance from the Average Solution Technique. Sustainability 2025, 17, 970. https://doi.org/10.3390/su17030970

AMA Style

Zulqarnain RM, Wang H, Siddique I, Ali R, Naveed H, Virk SA, Ahamad MI. Thermochemical Techniques for Disposal of Municipal Solid Waste Based on the Intuitionistic Fuzzy Hypersoft Evaluation Based on the Distance from the Average Solution Technique. Sustainability. 2025; 17(3):970. https://doi.org/10.3390/su17030970

Chicago/Turabian Style

Zulqarnain, Rana Muhammad, Hongwei Wang, Imran Siddique, Rifaqat Ali, Hamza Naveed, Saalam Ali Virk, and Muhammad Irfan Ahamad. 2025. "Thermochemical Techniques for Disposal of Municipal Solid Waste Based on the Intuitionistic Fuzzy Hypersoft Evaluation Based on the Distance from the Average Solution Technique" Sustainability 17, no. 3: 970. https://doi.org/10.3390/su17030970

APA Style

Zulqarnain, R. M., Wang, H., Siddique, I., Ali, R., Naveed, H., Virk, S. A., & Ahamad, M. I. (2025). Thermochemical Techniques for Disposal of Municipal Solid Waste Based on the Intuitionistic Fuzzy Hypersoft Evaluation Based on the Distance from the Average Solution Technique. Sustainability, 17(3), 970. https://doi.org/10.3390/su17030970

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop