Reliability Model Choice Based on AHP and Entropy Weight-TOPSIS

Abstract:

Aiming at the problem that some products show no failure in the random truncation test period,the mean rank order method is introduced to determine the sequence number of failure time and the method of approximate median order is used to calculate the empirical cumulative distribution function.To solve the poser that model of failure distribution of the same batch of data is not the single one,this study uses analytic hierarchy process (AHP) and entropy weight-TOPSIS,including both objective and subjective factors,to find out the datas optimun distribution.Through taking an example,It proved that this method is simple to use and has good applicability.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1197-1201
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1197
• Online since: August 2013
• Authors: Gui Xiang Shen, Shu Guang Sun, Ying Zhi Zhang, Shu Meng, Xiao Yan Qi, Lan Luan
• Keywords: AHP Weight, Entropy Weight, Mean Rank Order, Model Choice, Processing Center, TOPSIS

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