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Published in:
2011 | OriginalPaper | Chapter
Standard Deviation Method for Risk Evaluation in Failure Mode under Interval-Valued Intuitionistic Fuzzy Environment
Author : Yejun Xu
Published in: Modeling Risk Management for Resources and Environment in China
Publisher: Springer Berlin Heidelberg
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Abstract
Failure mode and effects analysis (FMEA) has been extensively used for examining potential failures in products, process, designs and services. An important issue of FMEA is the determination of risk priories of the failure modes that have been identified. In this paper, we treat the risk factors occurrence (O), severity (S) and detection (D) as interval-valued intuitionistic fuzzy numbers, and then standard deviation method is proposed to determine the weights of the risk factors objectively for prioritization of failure modes. A practical example is given to verify the developed method and to demonstrate its practicality and effectiveness.