Fuzzy Fault Tree Analysis and Its Applications

辻村, 泰寛; 玄, 光男; Kim, Chang-Eun

doi:10.3156/jfuzzy.5.5_1000

Cited by 8 publications

(1 citation statement)

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“…Cai et al [6] gave a different insight by introducing the possibility assumption and fuzzy state assumption to replace the probability and binary state assumptions. The concept of the importance used in the fuzzy fault tree was introduced by Tsujimura and Gen [7], where the failure possibilities of basic events were considered as fuzzy number. Fuzzy possibility was proposed by Walley [8], and then there were some approaches about fuzzy fault-tree analysis being introduced in Suresh et al [9] and Antonio et al [10].…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of Computer Security System Based on Intuitionistic Fuzzy Fault Tree

Kumar

Yadav

Kumar

2011

AMR

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Fault tree analysis has been widely used for providing logical functional relationships among subsystems and components of a system and identifying the root causes of the undesired failures in a system. This paper analyzes the reliability of Computer Security System through the method of intuitionistic fuzzy fault tree, which is based on L-R type triangular intuitionistic fuzzy set. In this paper, a new approach of intuitionistic fuzzy fault-tree analysis is proposed to calculate fault interval of system components from integrating expert’s knowledge and experience in terms of providing the possibility of failure of bottom events and to find the most critical system component that affects the reliability of the system, which could be used for managerial decision-making. For numerical verification, the proposed method is applied for the failure analysis problem of Computer Security System to generate the fault-tree, fault-tree nodes, then directly compute the intuitionistic fuzzy fault-tree interval, traditional reliability, and the intuitionistic fuzzy reliability interval.

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Section: Introductionmentioning

confidence: 99%

Reliability Analysis of Computer Security System Based on Intuitionistic Fuzzy Fault Tree

Kumar

Yadav

Kumar

2011

AMR

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GIS product reliability analysis based fuzzy fault tree

Sheng-wu

2011

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

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GIS reliability analysis based trapezoid fuzzy fault tree

Sheng-wu

2010

2010 18th International Conference on Geoinformatics

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GIS reliability refers to the ability to complete the requirements under the specified conditions and time. In this paper, there are five elements including object, conditions of use, use of time, functions and capabilities, to evaluate GIS reliability proposed by the combination in a engineering GIS. The paper imported trapezoid fuzzy fault tree into GIS reliability analysis for the fist time. The paper discussed how GIS reliability analysis uses trapezoid fuzzy fault tree method, mainly researches two problems that are GIS trapezoid fuzzy fault tree establishing and analysis step of GIS trapezoid fuzzy fault tree; uses example to adopt trapezoid fuzzy fault tree method computing GIS reliability analysis; because the technique considers not only GIS random uncertainty but also GIS fuzzy uncertainty, the result is precise, scientific and reasonable; finally summarizes up and points out the problems to need solving.

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Fuzzy Fault Tree Analysis and Its Applications

Cited by 8 publications

References 0 publications

Reliability Analysis of Computer Security System Based on Intuitionistic Fuzzy Fault Tree

Reliability Analysis of Computer Security System Based on Intuitionistic Fuzzy Fault Tree

GIS product reliability analysis based fuzzy fault tree

GIS reliability analysis based trapezoid fuzzy fault tree

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