An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis

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An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis

The fuzzy inference system (FIS) is useful for developing an improved Risk Priority Number (RPN) model for risk evaluation in failure mode and effect analysis (FMEA). A general FIS_RPN model considers three risk factors, i.e., severity, occurrence, and detection, as the inputs and produces an FIS_RP...

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Bibliographic Details
Main Author:	Tay, Kai Meng
Format:	Article
Published:	IEEE 2015
Subjects:	Q Science (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/10455/

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