In allusion to the multilevel evaluation index system and the actual situation of subjective assignment weights, a new multilevel evaluation model of the fuzzy entropy weight was established by means of adopting the corresponding membership function to fuzzify the indexes such as extremely large, small and medium-sized and using classification determining the evaluation value of the fuzzy entropy weight, the evaluation matrix of the fuzzy entropy weight and the relative closeness degree of the evaluation index et al. The empirical results show that the new fuzzy entropy multilevel evaluation model can avoid the subjectivity which lies in ascertaining factors’ weights and can make the evaluation results more objective. It is of important application and generalization value.
"Empirical Study on Multilevel Fuzzy Entropy Weight Performance Evaluation Model of the Petroleum Products Export Processing Enterprises in China,"
Applied Mathematics & Information Sciences: Vol. 09:
4, Article 59.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol09/iss4/59