DocumentCode
2607166
Title
Fuzzy AHP in prioritizing feeders for maintenance in nuclear power plants
Author
Srividya, A. ; Suresh, H.N. ; Verma, A.K.
Author_Institution
Indian Inst. of Technol. Mumbai, Mumbai
fYear
2007
fDate
2-4 Dec. 2007
Firstpage
149
Lastpage
153
Abstract
A fuzzy version of prioritization from among several alternatives under different decision criteria of Saaty´s pair wise comparison method is presented in this paper. Each ratio expressing the relative significance of a pair of factors is displayed in a matrix from which suitable weights can be extracted. Since these ratios are essentially fuzzy, they express the opinion of a decision-maker on the importance of a pair of factors. This method is used in such a way that information from experts, who are asked to express their opinions in fuzzy numbers with triangular membership functions, is embedded in it. The method is applied at two levels: beginning with the finding of fuzzy weights for the decision criteria, followed by finding the fuzzy weights for the alternatives under each of the decision criteria. Fuzzy scores for the alternatives are obtained. Using the fuzzy scores, experts will be able to prioritize the alternatives for maintenance activities based on the listed criteria. The method is illustrated for outlet feeders in a nuclear power plant with representative values.
Keywords
fuzzy set theory; maintenance engineering; nuclear power stations; feeders prioritization; fuzzy AHP; fuzzy numbers; nuclear power plant maintenance; pairwise comparison method; Costs; Data mining; Failure analysis; Inductors; Inspection; Intersymbol interference; Maintenance; Power generation; Reliability engineering; Welding; Prioritization; analytic hierarchy process; feeders; fuzzy numbers; multi-criteria decision analysis; triangular fuzzy number;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1529-8
Electronic_ISBN
978-1-4244-1529-8
Type
conf
DOI
10.1109/IEEM.2007.4419169
Filename
4419169
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