Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Predicting uncertain behavior of industrial system using FM-A practical case
Applied Soft Computing
Fuzzy modeling of system behavior for risk and reliability analysis
International Journal of Systems Science
Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean
Expert Systems with Applications: An International Journal
Failure mode and effects analysis using a group-based evidential reasoning approach
Computers and Operations Research
Failure mode and effects analysis by data envelopment analysis
Decision Support Systems
Application notes: MEBRA: multiobjective evolutionary-based risk assessment
IEEE Computational Intelligence Magazine
Fuzzy rule-based system for the economic analysis of RFID investments
Expert Systems with Applications: An International Journal
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP
Expert Systems with Applications: An International Journal
An adaptive neuro-fuzzy approach to risk factor analysis of Salmonella Typhimurium infection
Applied Soft Computing
Review: Risk evaluation approaches in failure mode and effects analysis: A literature review
Expert Systems with Applications: An International Journal
Fuzzy FMEA application to improve purchasing process in a public hospital
Applied Soft Computing
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This paper presents a nuclear case study, in which a fuzzy inference system (FIS) is used as alternative approach in risk analysis. The main objective of this study is to obtain an understanding of the aging process of an important nuclear power system and how it affects the overall plant safety. This approach uses the concept of a pure fuzzy logic system where the fuzzy rule base consists of a collection of fuzzy IF-THEN rules. The fuzzy inference engine uses these fuzzy IF-THEN rules to determine a mapping from fuzzy sets in the input universe of discourse to fuzzy sets in the output universe of discourse based on fuzzy logic principles. The risk priority number (RPN), a traditional analysis parameter, was calculated and compared to fuzzy risk priority number (FRPN) using scores from expert opinion to probabilities of occurrence, severity and not detection. A standard four-loop pressurized water reactor (PWR) containment cooling system (CCS) was used as example case. The results demonstrated the potential of the inference system for subsiding the failure modes and effects analysis (FMEA) in aging studies.