1995
DOI: 10.1109/24.376519
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Fault-tree analysis: a knowledge-engineering approach

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Cited by 59 publications
(12 citation statements)
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“…The foundations of fuzzy logic systems design are already well established (Dubois & Prade, 1980). The use of fuzzy logic (FL) in different aspects of safety and reliability analysis has been discussed in a number of papers (Bowles & Pelaez, 1995;Gentile, Rogers, & Mannan, 2003;Geymar & Ebecken, 1995;Karwowski & Mital, 1986;Kenatrangul, 1991;Kim, Ju, & Gens, 1996;Markowski, 2006;Misra & Weber, 1990;Quiech & Cameron, 1994;Singer, 1990;Solzano & Cozzani, 2006). There is no paper on fuzzy ''bow-tie'' although there were some works on a separate use of the fuzzy sets in a fault tree (Geymar & Ebecken, 1995;Kim et al, 1996;Singer, 1990) and an event tree (Kenatrangul, 1991;Markowski, 2006).…”
Section: Fuzzy Logic Basicmentioning
confidence: 98%
“…The foundations of fuzzy logic systems design are already well established (Dubois & Prade, 1980). The use of fuzzy logic (FL) in different aspects of safety and reliability analysis has been discussed in a number of papers (Bowles & Pelaez, 1995;Gentile, Rogers, & Mannan, 2003;Geymar & Ebecken, 1995;Karwowski & Mital, 1986;Kenatrangul, 1991;Kim, Ju, & Gens, 1996;Markowski, 2006;Misra & Weber, 1990;Quiech & Cameron, 1994;Singer, 1990;Solzano & Cozzani, 2006). There is no paper on fuzzy ''bow-tie'' although there were some works on a separate use of the fuzzy sets in a fault tree (Geymar & Ebecken, 1995;Kim et al, 1996;Singer, 1990) and an event tree (Kenatrangul, 1991;Markowski, 2006).…”
Section: Fuzzy Logic Basicmentioning
confidence: 98%
“…The use of fuzzy logic (FL) in different aspects of safety and reliability analysis has been undertaken in a number of papers (Bowles & Pelaez, 1995;Geymar & Ebecken, 1995;Karwowski & Mital, 1986;Kenatrangul, 1991;Kim, Ju, & Gens, 1996;Misra & Weber, 1990;Quiech & Cameron, 1994;Singer, 1990;Solzano & Cozzani, 2006). It is clear that after nearly thirty years of research, fuzzy logic has proven its worth as a practical engineering and problem-solving tool.…”
Section: Basis For Fuzzy Logic Applicationmentioning
confidence: 99%
“…These models and methodologies include classical probability principles based models [4], Markovian theory based models [5], Poisson theory based models [6], Bayesian theory based models [7], Monte Carlo simulation based models [8], Fault Tree Analysis (FTA) [9], Failure Modes and Effect Analysis (FMEA) [10,11], and hybrid models [12].…”
Section: Introductionmentioning
confidence: 99%