Fuzzy System Reliability Analysis Based on Confidence Interval

Abstract:

This paper proposes a new method for analyzing the fuzzy system reliability of a parallel-series and series-parallel systems using fuzzy confidence interval, where the reliability of each component of each system is unknown. To compute system reliability, we are estimated reliability of each component of the systems using fuzzy statistical data with both tools appropriate for modeling fuzzy data and suitable statistical methodology to handle these data. Numerical examples are given to compute fuzzy reliability and its cut set and the calculating was performed by using programming in software R.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 4908-4914
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.4908
• Online since: January 2012
• Authors: Ezzatallah Baloui Jamkhaneh, Azam Nozari
• Keywords: Fuzzy Confidence Interval (FCI), Fuzzy Number, Reliability

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