An integrated approach to evaluate module partition schemes of complex products and systems based on interval-valued intuitionistic fuzzy sets

作者：Li, Yupeng; Chu, Xuening^*; Chu, Dexin; Geng, Xiuli; Wu, Xiaosong

来源：International Journal of Computer Integrated Manufacturing, 2014, 27(7): 675-689.

DOI：10.1080/0951192X.2013.834471

• TOPSIS
• module partition schemes evaluation
• interval-valued intuitionistic fuzzy sets
• multiple attribute decision-making
• interval-valued intuitionistic fuzzy cross-entropy

Modularisation strategy can effectively shorten the lead time and reduce the cost of complex products and systems (CoPS) development. A few schemes are usually obtained through module partition because of the multidimensional complexity of CoPS. Unfortunately, research has rarely been conducted on the module partition schemes evaluation (MPSE) that is a complicated multiple attribute decision-making (MADM) problem under fuzzy and uncertain environment. The interval-valued intuitionistic fuzzy set (IVIFS) theory has distinct advantage on dealing with the imprecise and uncertain information in decision-making. In this article, an integrated MPSE approach is developed based on IVIFS. First, the evaluation measures are provided in the form of interval-valued intuitionistic fuzzy numbers (IVIFNs). Then the aggregation operators of IVIFSs utilised to construct the fuzzy synthetic decision matrix (FSDM) are obtained based on Karnik-Mendel algorithms. Finally, the interval-valued intuitionistic fuzzy (IVIF) cross-entropy integrated with the TOPSIS framework is developed to rank the candidate alternatives. The MPSE methods have been used to the design of a large tonnage crawler crane to illustrate that proposed approach is effective and systematic to solve the MPSE problem of CoPS.

• 出版日期2014-7-3
• 单位上海交通大学