Fuzzy Uncertainties in Human Reliability Analysis

SELVA S. RIVERA; PEDRO A. BAZIUK; JORGE E. NÚÑEZ MC LEOD

Lecture Notes in Engineering and Computer Science

Newswood

Año: 2011 vol. 2191 p. 970 - 975

2078-0958

Abstract—Human reliability studies seek to determine the trends of people to make mistakes in their performance. Currently, no methodology has a general consensus, and most of them haven’t been very attractive to the media due to the complexity of the techniques developed and the lack of information which allows implementation in a comprehensive manner. All currently known techniques are based on probability theory and only in recent years has begun to explore the possibility of applying fuzzy logic techniques for the treatment of the uncertainties involved. To date there is no unified model that allows representing the uncertainties. In this work uncertainties identified in the main present models are introduced. Different types of uncertainties are described remarking when the uncertainty is fuzzy.