| Title |
Multi-criteria Group Decision-Making Approach for Express Packaging Recycling Under Interval-Valued Fuzzy Information: Combining Objective and Subjective Compatibilities |
| ID_Doc |
29555 |
| Authors |
Zheng, CL; Zhou, YY |
| Title |
Multi-criteria Group Decision-Making Approach for Express Packaging Recycling Under Interval-Valued Fuzzy Information: Combining Objective and Subjective Compatibilities |
| Year |
2022 |
| Published |
International Journal Of Fuzzy Systems, 24.0, 2 |
| DOI |
10.1007/s40815-021-01222-7 |
| Abstract |
Consensus reaching process is a useful decision tool to reduce the preference conflict among experts in multi-criteria group decision-making (MCGDM). Often, the consensus is reached by the experts adjusting their assessments to the extent of mutual agreement. Accordingly, the purpose of this article is to develop an improved consensus-based method with interval fuzzy number judgment matrix (IFJM). To determine the disputes between experts, the consensus measure of IFJM based on objective and subjective compatibility degrees is defined. According to the consensus measure, a consensus improving algorithm is presented to assist each IFJM in reaching acceptable consensus. Subsequently, an optimization model based on the criterion of minimizing the consensus measure of IFJM with acceptable consensus is established to determine weights of experts in MCGDM. To rank and select alternatives, the possibility degree matrix is used to obtain the priority vector. Thus, a new consensus-based approach is put forward to solve MCGDM with IFJM. In this context, a case of express packaging recycling in circular economy and some comparisons are analyzed to demonstrate the availability and effectiveness of the proposed method. |
| Author Keywords |
Consensus reaching process; Multi-criteria group decision-making; Consensus improving algorithm; Interval fuzzy number judgment matrix |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000744423400003 |
| WoS Category |
Automation & Control Systems; Computer Science, Artificial Intelligence; Computer Science, Information Systems |
| Research Area |
Automation & Control Systems; Computer Science |
| PDF |
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