Title :
An algorithm to compute possibilistic reliability
Author :
Cappelle, Bart ; Kerre, Etienne E.
Author_Institution :
ABN AMRO Bank N.V., Brussels, Belgium
Abstract :
The mathematical representation of human behaviour and incomplete information is one of the most important challenges in reliability modelling. Several papers have been devoted to this topic but only few concern algorithms to compute the possibilistic system reliability from the component reliabilities. In this paper, we present an algorithm to approximate the possibilistic and the dual possibilistic reliability function of a system represented by an n-ary structure function. From these approximations we deduce an approximation of the necessistic and dual necessistic reliability function when the necessity measure is dual with respect to an order reversing mapping on the unit interval
Keywords :
possibility theory; reliability theory; component reliabilities; dual possibilistic reliability function; human behaviour; incomplete information; n-ary structure function; order reversing mapping; possibilistic reliability; possibilistic system reliability; reliability modelling; Boundary conditions; Computer science; Humans; Lattices; Mathematical model; Mathematics; Reliability engineering; Reliability theory;
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
DOI :
10.1109/ISUMA.1995.527720