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| Content Provider | Springer Nature Link |
|---|---|
| Author | Garg, Harish |
| Copyright Year | 2014 |
| Abstract | The main objective of this paper is to present an alternative method for computing the membership function of the system under intuitionistic fuzzy set environment. Conventionally, it is not always easy to obtain the system reliability for components with different individual failure probability density function due to necessary but complicated combination and integration of various probability density functions. Also, in the literature, it is assumed that failure rates of all the components of a system follow the same type of fuzzy set which is rarely occurring in the practical situations. Thus, this paper addresses the fuzzy system reliability analysis to construct the membership and non-membership functions by considering the different types of intuitionistic fuzzy failure rates. Functions of intuitionistic fuzzy numbers are calculated using credibility theory. The effectiveness of the proposed approach is illustrated with analyze of the fuzzy reliability of series, parallel and series-parallel systems using different types of intuitionistic fuzzy failure rates. The computed results from the analysis have a less range of uncertainty as the comparability of existing results. |
| Starting Page | 1021 |
| Ending Page | 1035 |
| Page Count | 15 |
| File Format | |
| ISSN | 16785878 |
| Journal | Journal of the Brazilian Society of Mechanical Sciences and Engineering |
| Volume Number | 38 |
| Issue Number | 3 |
| e-ISSN | 18063691 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2014-12-03 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Series-parallel system Credibility theory Uncertainty Fuzzy reliability Mechanical Engineering Intuitionistic fuzzy numbers |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Industrial and Manufacturing Engineering Automotive Engineering Mechanical Engineering Aerospace Engineering |
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