Entropy Methods for Multicriteria Decision Making
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 12106
Special Issue Editor
Interests: multicriteria decision-making problems; neuro-fuzzy systems; fuzzy, rough, and intuitionistic fuzzy set theory; neutrosophic theory
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Special Issue Information
Dear Colleagues,
The field of multi-criteria decision making (MCDM) began its rapid development in the 1970s. Many methods and their modifications have been developed to improve decision-making processes. The development of rich decision-making tools is accompanied by the fact that MCDM has taken an important place in many scientific fields. With the development of newer methods, the old methods were not forgotten but rather improved following the development of science, and were often used in their original form.
One of the first divisions of MCDM methods is related to objective and subjective decision-support methods. Although subjective methods are more prevalent in scientific research, objective methods have their continuity of application. One of the first objective methods is the entropy method. A simple mathematical apparatus which follows this method ensures the direct generation of criterion weight values based on the mutual contrast of the individual criterion values of the variants for each criterion. In addition to applying it in its standard form, researchers often make various modifications to this method, adapting it to solve different research problems. The most common alterations of the entropy method and others are related to attempts to reduce uncertainty, which is a ubiquitous companion of the decision-making process. For this purpose, MCDM methods are modified by applying mathematical tools that consider uncertainties differently, such as fuzzy sets, rough sets, gray sets, neutrosophic sets, Dempster–Shafer theory, etc. This approach indicates that the development and application of the entropy method have not stopped, but researchers are facing new challenges. In this context, the basic idea of this Special Issue is to collect works dealing with developing the entropy method and its application in solving specific problems. In addition, the Special Issue will also discuss papers that show the application of other objective MCDM methods (i.e., papers that aim to reduce the degree of uncertainty in decision-making processes). Topics include, but are not limited to, the following:
- Entropy method and MCDM in different fields;
- Modification of entropy method using fuzzy numbers;
- Modification of entropy method using rough numbers;
- Modification of entropy method using grey numbers;
- Modification of entropy method using neutrosophic numbers;
- Modification of entropy method using D-numbers;
- Objective methods MCDM in different fields;
- Comparisons of the entropy method with other MCDM methods;
- Development of new methods MCDM;
- MCDM in uncertain environments.
Dr. Darko Božanić
Guest Editor
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