A Improvement Analysis Model Based on Fuzzy Parameters Reliability

Abstract:

Fuzzy Structure; Fuzzy Parameters; Reliability; Membership Function Abstract. This paper takes the fuzzy mathematics' reliability analysis as study object, has conducted the research to the fuzzy parameter system's reliability; comparing with traditional reliability analysis, obtained more precise fuzzy reliability confidence interval formula and carried on the proving based on cascade system, which has solved the computation complexity and the low precise problem in the tradition fuzzy reliability analysis's mass fuzzy operation. Method in the paper has certain promotional value in the fuzzy problem's research. It solved some problems such as the traditional fuzzy reliability analysis in the mass caused by the calculation of fuzzy computing complexity and low-precision. The emphasis of the article is divided into two parts: One is analysis and discussion on traditional module reliability analysis method and the fuzzy number membership function; the other one is proposing one new fuzzy parameter reliability analysis method and the conclusion, based on the former analysis.

• Periodical: Advanced Materials Research (Volume 487)
• Pages: 764-769
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.487.764
• Online since: March 2012
• Authors: Fang Liang Dong
• Keywords: Fuzzy Parameters, Fuzzy Structure, Membership Function, Reliability

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