Sciences & Technologie
Volume 0, Numéro 19, Pages 57-64
2003-06-30
Aggregation In Fuzzy Fault Tree Quantification: Comparison Of Means And Expertons Techniques
Authors : Nait-said R . Bouhoufani T . Sale R .
Abstract
This paper presents a comparison of the two techniques: arithmetic means and expertons, used for aggregation of experts’ judgments relative to basic events of fault trees. Valuations as confidence intervals included in [0, 1] have been considered. First, bounds are numbers to one decimal; next, numbers belonging to [0, 1]. In this last case, R+_expertons concept is used, with a counter-expertise form proposed. The means technique is well known in practice, but as fault tree is a logical diagram built by "AND" and "OR" gates, i.e. nonlinear operators, its use leads to wrong results and expertons technique should be used.
Keywords
Fuzzy Fault Tree Quantification, Aggregation, Arithmetic Mean, Experton
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