Using Fuzzy Fault Tree Analysis for Complex Systems Reliability

In this study, a qualitative and quantitative analysis is presented to( FFT) technique in order to determine the cause of failure for a different size of systems depending on the logic gates rules to determine the minimal cut sets which causes the failure of the system . After constructing a fault tree many basic events which can occur theoretically have never happened so far or have happened so infrequently that their reasonable information are not available . The use fuzzy probability can describe the failure probability and its uncertainty of any basic event, and then evaluate the probability of the top event occurrence using certain mathematical operations . For analyzing the( FFT ) a qualitative and quantitative analysis are discussed thought determining minimal cut sets(MCS) and evaluating the system reliability by using fuzzy set logic, fuzzy numbers rules to Calculate the causes of system failure .