Paper Info
Title
An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy.
Abstract
Failure Mode and Effects Analysis (FMEA) has been regarded as an effective analysis approach to identify and rank the potential failure modes in many applications. However, how to determine the weights of team members appropriately, with the impact factor of domain experts' uncertainty in decision-making of FMEA, is still an open issue. In this paper, a new method to determine the weights of team members, which combines evidence theory, intuitionistic fuzzy sets (IFSs) and belief entropy, is proposed to analyze the failure modes. One of the advantages of the presented model is that the uncertainty of experts in the decision-making process is taken into consideration. The proposed method is data driven with objective and reasonable properties, which considers the risk of weights more completely. A numerical example is shown to illustrate the feasibility and availability of the proposed method.
Year
DOI
Venue
2019
10.3390/e21020211
ENTROPY
Keywords
Field
DocType
failure mode and effects analysis,evidence theory,belief entropy,intuitionistic fuzzy set,evidence distance,weight
Failure mode and effects analysis,Mathematical optimization,Data-driven,Fuzzy set,Mathematics,Impact factor
Journal
Volume
Issue
ISSN
21
2
1099-4300
Citations 
PageRank 
References 
0
0.34
39
Authors
2
Name
Order
Citations
PageRank
Zeyi Liu100.68
Fuyuan Xiao220119.11