RELIABILITY ANALYSIS OF A SYSTEM BY USING SUGENO (TSK) FUZZY MODEL
Journal Title: Bulletin of Pure and Applied Sciences Sec. E - Mathematics and Statistics - Year 2018, Vol 37, Issue 2
Abstract
In the present paper the binary assumption is replaced by a fuzzy state assumption, thereby leading to fuzzy reliability estimates. In reliability estimation failure rate estimation is an important parameter. Available methods for the estimation of such parameters do not cover up such type of uncertainty in the failure data collection involving human judgment, evaluation and decision. In this paper we introduce a new approach based on Sugeno [TSK] fuzzy model to estimate such system parameters and analyze the fuzzy reliability of a three unit system by Sugeno’s fuzzy model. We also obtain the fuzzy effect on the system reliability.
Authors and Affiliations
M. K. Sharma
Keywords
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- EP ID EP531805
- DOI 10.5958/2320-3226.2018.00054.1
- Views 130
- Downloads 0
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