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Multi-criteria Group Decision-Making Approach for Express Packaging Recycling Under Interval-Valued Fuzzy Information: Combining Objective and Subjective Compatibilities

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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.

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Acknowledgements

This work was supported by the Humanities and Social Science Planning Fund from Ministry of Education (16YJAZH078), the Fundamental Research Funds for the Central Universities of China (Grant No. CCNU19TS062).

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  1. School of Economics and Business Administration, Financial Engineering Research Center, Central China Normal University, Wuhan, 430079, China

    Chengli Zheng & Yuanyuan Zhou

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  1. Chengli Zheng
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Correspondence to Yuanyuan Zhou.

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Zheng, C., Zhou, Y. Multi-criteria Group Decision-Making Approach for Express Packaging Recycling Under Interval-Valued Fuzzy Information: Combining Objective and Subjective Compatibilities. Int. J. Fuzzy Syst. 24, 1112–1130 (2022). https://doi.org/10.1007/s40815-021-01222-7

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