DocumentCode :
2795819
Title :
Fuzzy system reliability analysis based on level(1−β,1−α) interval-valued fuzzy numbers and using statistical data
Author :
Lee, Huey-Ming ; Shih, Teng-San ; Su, Jin-Shieh ; Chen, Heng-sheng
Author_Institution :
Dept. of Inf. Manage., Chinese Culture Univ. Hwakang, Taipei
Volume :
7
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
3744
Lastpage :
3749
Abstract :
In this paper, we consider the fuzzy reliability of the serial system and the fuzzy reliability of the parallel system problems. We use the statistical data to derive a level 1-alpha fuzzy numbers and a level (1-beta, 1-alpha) interval-valued fuzzy numbers. Then, we compute both fuzzy reliability of the serial system and fuzzy reliability of the parallel system based on level (1-beta, 1-alpha) interval-valued fuzzy numbers.
Keywords :
fuzzy set theory; reliability theory; statistical analysis; fuzzy system reliability analysis; interval-valued fuzzy numbers; statistical data; Concurrent computing; Cybernetics; Fuzzy sets; Fuzzy systems; Information analysis; Information management; Machine learning; Mathematics; Reliability theory; Sociotechnical systems; Fuzzy reliability; Signed distance; Statistical data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4621056
Filename :
4621056
Link To Document :
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