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Sensitivity analysis of a fuzzy expert system for modelling dependencies in human operators’ emergency tasks

Zio E., Baraldi P., Librizzi M., Podofillini L., Dang H. V.

Journal of Polish Safety and Reliability Association

2007

Vol. 2

379--389

This paper analyzes the behaviour of a fuzzy expert system for evaluating the dependence among successive operator actions, through a sensitivity analysis on the fuzzy input partitioning and assessment. Preliminary results are presented with respect to a case study concerning two successive tasks of an emergency procedure in a nuclear reactor. Work is in progress to perform a thorough sensitivity analysis to generalize the results obtained.

The use of importance measures for the optimization of multi-state systems

Zio E., Podofillini L.

Eksploatacja i Niezawodność

2006

nr 2

33-36

In this paper we propose an approach to the multiobjective optimization of a multi-state system (MSS) design, based on incorporating information from importance measures (IMs). More specifically, IMs come into play at the objective functions level in order to drive the search towards a MSS which, besides being optimal from the points of view of economics and safety, is also 'balanced' in the sense that all components have similar IMs values, without bottlenecks or unnecessarily high-performing components.