Title :
Bayesian decision for lift test based on fuzzy life characteristics
Author_Institution :
Sch. of Math. & Comput. Sci., Ningxia Univ., Yinchuan, China
Abstract :
For the life data X in a life test, the Bayesian stopping rule and decision rule for the problem of testing fuzzy statistical hypotheses are given in this paper. The loss function of the model is the sum of the cost of the experiment time and the loss due to wrong decision. In the procedure, the Bayesian stopping rule is determined by the optimal terminated time, and the Bayesian decision rule is determined by the risk of decision. Numerical results are given in the case where the lifetime has an exponential distribution.
Keywords :
Bayes methods; decision theory; exponential distribution; fuzzy set theory; inference mechanisms; life testing; Bayesian decision rule; Bayesian stopping rule; exponential distribution; fuzzy life characteristics; fuzzy statistical hypotheses; lift test; loss function; Bayesian methods; Exponential distribution; Fuzzy sets; Numerical models; Reliability theory; Testing;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569192
