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.