Name
Title | ||
|---|---|---|
Intuitionistic Fuzzy Sets in Multi-Criteria Group Decision Making Problems Using the Characteristic Objects Method. |
Abstract | ||
|---|---|---|
Over the past few decades, several researchers and professionals have focused on the development and application of multi-criteria group decision making (MCGDM) methods under a fuzzy environment in different areas and disciplines. This complex research area has become one of the more popular topics, and it seems that this trend will be increasing. In this paper, we propose a new MCGDM approach combining intuitionistic fuzzy sets (IFSs) and the Characteristic Object Method (COMET) for solving the group decision making (GDM) problems. The COMET method is resistant to the rank reversal phenomenon, and at the same time it remains relatively simple and intuitive in practical problems. This method can be used for both symmetric and asymmetric information. The Triangular Intuitionistic Fuzzy Numbers (TIFNs) have been used to handle uncertain data. This concept can ensure the preference information about an alternative under specific criteria more comprehensively and allows for easy modelling of symmetrical or asymmetrical linguistic values. Each expert provides the membership and non-membership degree values of intuitionistic fuzzy numbers (IFNs). So this approach deals with a different kind of uncertainty than with hesitant fuzzy sets (HFSs). The proposed combination of COMET and IFSs required an adaptation of the matrix of expert judgment (MEJ) and allowed to capture the behaviour aspects of the decision makers (DMs). Therefore, we get more reliable solutions while solving MCGDM problems. Finally, the proposed method is presented in a simple academic example. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/sym12091382 | SYMMETRY-BASEL |
Keywords | DocType | Volume |
intuitionistic fuzzy sets,multi-criteria group decision making,the COMET method | Journal | 12 |
Issue | Citations | PageRank |
9 | 1 | 0.36 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shahzad Faizi | 1 | 3 | 2.43 |
| Wojciech Sałabun | 2 | 60 | 9.53 |
| Tabasam Rashid | 3 | 255 | 19.40 |
| Sohail Zafar | 4 | 22 | 3.17 |
| Jaroslaw Watrobski | 5 | 24 | 5.47 |