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has been cited by the following article:

• TITLE: Evaluation of Enterprise Lean Level Based on Fuzzy Multiple Subjective and Objective Weights

  AUTHORS: Yanfeng Li, Piye Yuan

  KEYWORDS: Trapezoidal Blur, Multi-Attribute Decision Making, Comprehensive Subjective and Objective Weight, Improved TOPSIS

  JOURNAL NAME: Open Journal of Business and Management, Vol.10 No.3, May 20, 2022

  ABSTRACT: Aiming at the problem of weight determination in multi-attribute decision making, this paper proposes a method of index weight determination combining fuzzy subjective and comprehensive objective, and applies this method to evaluate the lean level of enterprises. First of all, the use of expert scoring method and entropy value method, fuzzy index correlation index weight determination method (CRITIC) and improved approach to ideal solution sorting method (improved TOPSIS) to determine the subjective and objective weight of each index, the subjective and objective weight combined to get the comprehensive weight; Then, TOPSIS method was used to rank the alternatives. H company ABC is discussed, the three production lines of the lean level evaluation as an example, the combination of single subjective and objective weight determination method and the proposed subjective, objective method to determine the weight of the combination of the comprehensive analysis of SPSS, verify the proposed subjective, objective weight determination method of combining the comprehensive accuracy and reliability.