DocumentCode :
10510
Title :
A Fuzzy Measure Approach to Systems Reliability Modeling
Author :
Yager, Ronald R.
Author_Institution :
Machine Intell. Inst., Iona Coll., New Rochelle, NY, USA
Volume :
22
Issue :
5
fYear :
2014
fDate :
Oct. 2014
Firstpage :
1139
Lastpage :
1150
Abstract :
Our objective here is to study the role that fuzzy measures can play in systems reliability modeling. We first introduce some basic ideas from fuzzy measure theory and then introduce some specialized ideas about fuzzy measures, cardinality index, and attitudinal character, which will later be useful in comparing systems reliability. Basic ideas of reliability modeling and the role of the system structure function are discussed. The system´s signatures associated with a structure function are introduced and we show their relationship to expected time to system failure. We show how we can model a systems structure function using a fuzzy measure´s. A description of the role of a measures cardinality index and attitudinal character in providing tools for comparing systems reliability is provided. We describe how to obtain a structure model of a complex system using aggregation operators and the measure representation of individual components.
Keywords :
failure analysis; fuzzy set theory; reliability theory; aggregation operators; attitudinal character; cardinality index; complex system; fuzzy measure approach; system failure; system reliability modeling; system signatures; system structure function; Additives; Finite element analysis; Indexes; Mathematical model; Reliability theory; Vectors; Cardinality index; fuzzy measure; reliability theory; systems signatures;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2013.2282170
Filename :
6600902
Link To Document :
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