Performance Evaluation of Green Mine Using a Combined Multi-Criteria Decision Making Method With Picture Fuzzy Information

Abstract

The construction of Green Mine has become an essential policy for the management of mineral resources in China. This study aims to propose a favorable approach to assess the performance of Green Mine. The evaluation criteria are recognized based on the specific characteristics of Green Mine. Considering that some of these criteria could not be mutually compensated, a novel multi-criteria decision making (MCDM) method is presented. It integrates the TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method with the elimination and choice translating reality (ELECTRE) method in a picture fuzzy environment. In most existent methods, the evaluation information of Green Mine is described by real numbers. However, in this study, picture fuzzy numbers (PFNs) are first used to express such information to effectively indicate the uncertainty and fuzziness in the evaluation process. Another innovation is that the entropy weights model and the best-worst method (BWM) are combined to determine the comprehensive criteria weights. The practicability and advantages of the proposed method are verified by a case study and a comparative analysis with other methods. In addition, the influences of some parameters are discussed using sensitivity analysis to judge the flexibility and robustness of the proposed method. The results show that the proposed approach is feasible for solving the non-compensatory problems of evaluation criteria and can provide references for the performance evaluation and management of Green Mine.

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