Importance Analysis Method of Fuzzy Fault Tree Based on T-S Modle and Application in Hydraulic System

2013 ◽  
Vol 470 ◽  
pp. 707-711 ◽  
Author(s):  
Lu Lu Zhang ◽  
Rui Jun Zhang ◽  
Xin Xin Si
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Hydraulic System ◽  
Fault Tree ◽  
Analysis Method ◽  
Fuzzy Information ◽  
Logical Relationship ◽  
Importance Analysis ◽  
Fuzzy Subsets

In order to overcome the shortage of dealing with fuzzy information and uncertainty of fault logical relationship in traditional importance measures, the fuzzy set theory is presented to fault tree, using fuzzy number to describe the fault states of system and components, and using fuzzy subsets to denote the fault rates, a fuzzy fault tree of T-S modle was established. And a model of fuzzy fault tree was established and a T-S fuzzy importance analysis method was presented on the basis of T-S analysis method. The method is applied in the importance analysis of hydraulic system, and proving that the algorithms are feasible.

scholarly journals The Development of a Tourism Attraction Model by Using Fuzzy Theory

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Jieh-Ren Chang ◽  
Betty Chang
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Fuzzy Theory ◽  
Limited Resources ◽  
Analysis Method ◽  
Tourism Destination ◽  
Tourist Destinations ◽  
Attraction Model ◽  
Tourism Destinations

The purpose of this study is to develop a model to investigate the tourists’ preference. Ten attributes of tourist destinations were used in this study. Fuzzy set theory was adopted as the main analysis method to find the tourists’ preference. In this study, 248 pieces of data were used. Besides the evaluations for the factors, the overall evaluations (namely, satisfied, neutral, and dissatisfied) for every tourism destination were also inquired. After screening, 201 pieces of these data could be used. In these 201 pieces of data, 141 were classified into “satisfied” with the tourism destination, accounting for 70.15%, and 49 were “neutral,” accounting for 24.38%, while 11 were “dissatisfied,” accounting for 5.47%. Eight rules were obtained with the method of fuzzy preprocess. Regarding the condition attributes, three of the original ten attributes were found influential, namely, level of prices, living costs, information and tourist services, and tourist safety of the tourism destinations. From the results of this study, it is shown that top management of tourism destinations should put resources in these fields first, in order to allow limited resources to perform to maximum effectiveness.

scholarly journals Reliability Evaluation of Data Communication System Based on Dynamic Fault Tree under Epistemic Uncertainty

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Rongxing Duan ◽  
Jinghui Fan
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Communication System ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Data Communication ◽  
Tree Analysis ◽  
Dynamic Fault Tree ◽  
Evaluation Of Data

Fault tree analysis is a well-structured, precise, and powerful tool for system evaluation. However, the conventional approach has been found to be inadequate to deal with the absence of fault data, failure dependency, and uncertainty problems. This paper presents a comprehensive study on the evaluation of data communication system (DCS) using dynamic fault tree approach based on fuzzy set. It makes use of the advantages of the dynamic fault tree for modelling, fuzzy set theory for handling uncertainty, and Bayesian network (BN) for inference ability. Specifically, it adopts expert elicitation and fuzzy set theory to evaluate the failure rates of the basic events for DCS and uses a dynamic fault tree model to capture the dynamic failure mechanisms. Furthermore, some reliability parameters can be calculated by mapping a dynamic fault tree into an equivalent BN. The results show that the proposed method is more flexible and adaptive than conventional fault tree analysis for fault diagnosis and reliability estimation of DCS.

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