Study on Applying Fault Tree Analysis Based on Fuzzy Reasoning in Risk Analysis of Construction Quality

Abstract

The paper describes the research the application of artificial intelligence technology in analyzing engineering quality and proposed a method which bases on the faulty tree analysis of the fuzzy logical system. In practice, the indeterminacy exists in the occurrence probability of basic event. Based on the previous research, this paper adopts the way of expressing the occurrence probability of basic event as fuzzy numeral. Meanwhile, focused on the uncertainty which exists in the causality between reason-event and result-event in faulty tree analysis, the author applies the fuzzy reasoning system in faulty tree analysis. Depends on the different reasoning relations between reason-event and result-event, author issues the different calculation and ensures the regularity of the reasoning calculation. The case study illustrates the feasibility of the analysis way issued in the paper which explores a new idea to risk analysis in engineering quality and in promote the reliability of the production.