Results 141 to 150 of about 2,095 (189)
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Fault tree analysis with fuzzy gates
Computers and Industrial Engineering, 1997Abstract Fault tree analysis is an important tool analyzing system reliability. Fault trees consist of gates and events. Gates mean relationships between events. In fault tree analysis, AND, OR gates have been used as typical gates but it is often difficult to model the system structure with the two gates because in many cases we have not exact ...
HanSuk Pan, WonYoung Yun
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A Fuzzy Fault Tree Framework of Construction Dispute Negotiation Failure
IEEE Transactions on Engineering Management, 2015 Reaching integrated agreement has been advocated to be the optimal outcome in dispute negotiation. When this is not achieved, the outcome is suboptimal and can be technically identified as a form of failure. This study introduces a fuzzy fault tree analysis (FFTA) approach to conceptualize the root causes of construction dispute negotiation failure ...
Tak Wing Yiu, Sai On Cheung, Cho Lei Lok
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Fuzzy importance in fault tree analysis
Fuzzy Sets and Systems, 1984In fault tree analysis, system success or failure can be described by the state of the top event, which is usually defined by a so-called structure function. In this paper, we attempt to simplify the calculation process of the structure function and to newly define the state of the top event by the membership function, using fuzzy sets theory ...
Hitoshi Furuta, Naruhito Shiraishi
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Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 1994 Reliability of products is frequently a prime safety consideration. Interpretation of reliability is both quantitative and qualitative. Extensive quantitative analysis employing probablistic risk assessment has been widely performed to provide predicted hazard or accident minimization.
D.P. Weber
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Fuzzy fault tree analysis: revisited
International Journal of System Assurance Engineering and Management, 2011 Fault tree analysis is one of the most effective techniques for estimating the frequency of occurrence of hazardous events in probabilistic risk assessment study. The analyst needs to study a multi component system and identifies vulnerable sections of hazardous plant based on formalized procedure. In this sequel, we have made an attempt to demonstrate
Ashok Deshpande
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A comprehensive framework for risk probability assessment of landfill fire incidents using fuzzy fault tree analysis [PDF]
Chemical Engineering Research and Design, 2022 Landfill fire is the most frequent type of incidents in the waste management complexes. This paper presents a new framework for risk probability evaluation of major fires in landfills using the fuzzy fault tree analysis.
Farzad Piadeh, Kourosh Behzadian
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Fuzzy Fault Tree Based Fault Detection
2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012In this article, for the Linux operating system environment, with the characteristics of ambiguity and uncertainty for the occurrence probability of system failures, fuzzy theory is introduced into the fault tree analysis. The occurrence probability of basic events in the conventional fault tree is made fuzzy by introducing the concept of fuzzy sets ...
Yuening Kang +4 more
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A Fuzzy Decision Tree for Fault Classification
Risk Analysis, 2008In plant accident management, the control room operators are required to identify the causes of the accident, based on the different patterns of evolution of the monitored process variables thereby developing. This task is often quite challenging, given the large number of process parameters monitored and the intense emotional states under which it is ...
ZIO, ENRICO +2 more
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Fuzzy Fault Tree Analysis for Structural Safety
Journal of Intelligent & Fuzzy Systems, 1996A tool that can be used to assess structural safety is fault tree analysis (FTA) , which depends primarily on quantitative information. However, in many cases, safety assessment of civil engineering structures is based on subjective judgement. To improve the traditional FTA, the authors use the fuzzy set concept and introduce fuzzy fault tree analysis (
Tomoyuki Fujino, Fabian C. Hadipriono
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A fuzzy fault tree formulated by a class of fuzzy measures
Bulletin of University of Osaka Prefecture. Series A, Engineering and natural sciences, 1987A fuzzy fault tree for fault analysis of soft systems is formulated by fuzzy measures of fuzzy sets. Fuzzy measures in this paper are based on t-norms and t-conorms. Measures of level-m fuzzy sets are defined recursively, which represent structure functions of the fault tree.
Ichihashi, Hidetomo, Tanaka, Hideo
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