Research on Logistics System Evaluation Based on Group Language Information in Mass Customization

Abstract

In order to deal with the complexity of logistics system evaluation under mass customization environment, multiple heterogeneous evaluators often directly give the language information of logistics system evaluation, and a logistics system evaluation method based on group language information is proposed. In this method, firstly, the evaluator uses language information to represent the evaluation value of the key indicators of the logistics system in the mass customization environment, and then uses fuzzy language scale to transform the evaluation value. Secondly, the Generalized Induced Ordered Weighted Averaging (GIOWA) operator is used twice to aggregate the language information given by the evaluator with the weight of the indicator and the weight of the evaluator to obtain the comprehensive evaluation value of the member and the comprehensive evaluation value of the scheme. Finally, the comprehensive evaluation values of the scheme are sorted and the optimal scheme is obtained. This paper takes a computer enterprise to realize the mass customization model as an example to verify the effectiveness and practicability of the proposed method.