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Entropy 2019, 21(2), 211; https://doi.org/10.3390/e21020211

An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy

School of Computer and Information Science, Southwest University, Chongqing 400715, China
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Received: 23 January 2019 / Revised: 14 February 2019 / Accepted: 20 February 2019 / Published: 22 February 2019
(This article belongs to the Special Issue Entropy-Based Fault Diagnosis)
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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. View Full-Text
Keywords: failure mode and effects analysis; evidence theory; belief entropy; intuitionistic fuzzy set; evidence distance; weight failure mode and effects analysis; evidence theory; belief entropy; intuitionistic fuzzy set; evidence distance; weight
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Liu, Z.; Xiao, F. An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy. Entropy 2019, 21, 211.

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