Abstract

There are many real-life problems that, because of the need to involve a wide domain of knowledge, are beyond a single expert. This is especially true for complex problems. Therefore, it is usually necessary to allocate more than one expert to a decision process. In such situations, we can observe an increasing importance of uncertainty. In this paper, the Multi-Criteria Decision-Making (MCDM) method called the Characteristic Objects Method (COMET) is extended to solve problems for Multi-Criteria Group Decision-Making (MCGDM) in a hesitant fuzzy environment. It is a completely new idea for solving problems of group decision-making under uncertainty. In this approach, we use L-R-type Generalized Fuzzy Numbers (GFNs) to get the degree of hesitancy for an alternative under a certain criterion. Therefore, the classical COMET method was adapted to work with GFNs in group decision-making problems. The proposed extension is presented in detail, along with the necessary background information. Finally, an illustrative numerical example is provided to elaborate the proposed method with respect to the support of a decision process. The presented extension of the COMET method, as opposed to others’ group decision-making methods, is completely free of the rank reversal phenomenon, which is identified as one of the most important MCDM challenges.

Highlights

  • For human activities and their problems, the Multi-Criteria Group Decision-Making (MCGDM)is an important tool [1,2]

  • We extend the Characteristic Objects Method (COMET) concept to develop a methodology for solving multi-criteria group decision-making problems under uncertainty

  • The hesitant fuzzy sets theory is a useful tool to deal with uncertainty in multi-criteria group decision-making problems

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Summary

Introduction

For human activities and their problems, the Multi-Criteria Group Decision-Making (MCGDM). This issue is very important in MCGDM problems, when the DMs do not support the same membership grade for an element [22,23] In this case, the difficulty of establishing a common membership grade is caused not by the margin of error (as happens in Intuitionistic Fuzzy Set (IFS)) or some possible distribution values Group decision-making problems are solved for hesitant fuzzy sets and with aggregation operators in [33,34,35,36]. We extend the COMET concept to develop a methodology for solving multi-criteria group decision-making problems under uncertainty.

Preliminaries
COMET for MCGDM Using HFS
An Illustrative Example
Conclusions
Full Text
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