DocumentCode
1975481
Title
The research on the method of fuzzy information processing
Author
Lingling, Li ; Xian, Zhou ; Pengju, He ; Zhigang, Li
Author_Institution
Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China
Volume
2
fYear
2012
fDate
20-21 Oct. 2012
Firstpage
47
Lastpage
50
Abstract
In Reliability analysis, in addition to stochastic uncertain information, fuzzy uncertain information also exists. Therefore, the traditional reliability put forward a comprehensive method for reliability calculation of random uncertainty information and fuzzy uncertainty information. It obtained reliability distribution curve which is based on stress-strength interference model, also obtained reliability calculation model which could handle both the probability density function and the membership function. This paper explored the inner relation between this model and the classical reliability model. The result shows that: This model is used for processing stochastic uncertain information and fuzzy uncertain information in the case of coexistence of randomness and fuzziness. The result has high accuracy, and can dynamically reflect the calculation mechanism of reliability.
Keywords
fuzzy set theory; probability; random processes; reliability theory; stochastic processes; fuzzy information processing; fuzzy uncertain information; membership function; probability density function; random uncertainty information; reliability analysis; reliability calculation model; reliability distribution curve; stochastic uncertain information; stress-strength interference model; Equations; Mathematical model; Probability density function; Reliability engineering; Reliability theory; Stress; fuzzy reliability; membership function; probability density function; reliability distribution curve;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-0914-1
Type
conf
DOI
10.1109/ICSSEM.2012.6340804
Filename
6340804
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