论文信息 - FMEA Using Intuitionistic Fuzzy Hybrid TOPSIS Approach

FMEA Using Intuitionistic Fuzzy Hybrid TOPSIS Approach

In Chap. 3, the theory of intuitionistic fuzzy sets (IFSs) has been proven to be useful for FMEA to deal with the vagueness and uncertainty existed in the risk-evaluating process. The technique for order preference by similarity to ideal solution (TOPSIS), proposed by Hwang and Yoon (1981), is one of the well-known MCDM methods and has been extensively applied to various engineering and management fields.

Hu-Chen Liu | Hu-Chen Liu | Hu-chen Liu

[1] Marcello Braglia,et al. Fuzzy TOPSIS approach for failure mode, effects and criticality analysis , 2003 .

[2] Zeshui Xu,et al. An overview of methods for determining OWA weights , 2005, Int. J. Intell. Syst..

[3] Ta-Chun Wen,et al. A novel efficient approach for DFMEA combining 2-tuple and the OWA operator , 2010, Expert Syst. Appl..

[4] Jian-Xin You,et al. Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach , 2015, Soft Comput..

[5] Ching-Lai Hwang,et al. Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[6] Xinguo Ming,et al. Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS , 2013, Int. J. Comput. Integr. Manuf..

[7] Ping Li,et al. Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator , 2014, Int. J. Syst. Sci..

[8] Jian-Bo Yang,et al. Failure mode and effects analysis using a group-based evidential reasoning approach , 2009, Comput. Oper. Res..

[9] Diyar Akay,et al. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..