Evaluation Approach to Rank Module Partition Schemes of Complex Products Based on Hybrid Fuzzy Multi-Attribute Decision Making

doi:10.16183/j.cnki.jsjtu.2017.11.014

Abstract

Abstract: Modular development can effectively deal with the complex coupling problems of function and structure in complex products. The basis of modularization makes it difficult to obtain the single module partition scheme for complex products. To solve this problem, a module partition scheme evaluation method for complex products is put forward based on the multi-attributes decision making approach under hybrid fuzzy environment. According to the properties of the indices, by means of the interval number, intuitionistic fuzzy number, triangular fuzzy number and interval intuitionistic fuzzy number, the indices are given reasonable value assignment, respectively. The weights of the indices are determined by fuzzy analytic hierarchy process(FAHP). Distance between alternatives to the positive or negative ideal solution is calculated on the basis of the framework of technique for order preference by similarity to ideal solution (TOPSIS), and the ranking order is obtained according to the comprehensive relative closeness degree. Finally, a case study of automobile engine module partition scheme evaluation is implemented to varify the effectiveness and efficiency of the proposed approach.

Key words: complex products;module partition;scheme evaluation; hybrid fuzzy; multi-attribute decision making

CLC Number:

TP 391.7

LI Yupeng1,LIAN Xiaozhen1,LU Cheng1,CHU Xuening2. Evaluation Approach to Rank Module Partition Schemes of Complex Products Based on Hybrid Fuzzy Multi-Attribute Decision Making[J]. Journal of Shanghai Jiao Tong University, 2017, 51(11): 1374-1382.

References

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