DocumentCode :
3674498
Title :
Storage reliability evaluation model based on grey target theory combined with prospect theory
Author :
Jiefang Liu; Sifeng Liu; Zhigeng Fang
Author_Institution :
School of mathematical science, Henan Institute of science and Technology, Xinxiang, China
fYear :
2015
Firstpage :
374
Lastpage :
377
Abstract :
For complex weapon systems, storage reliability is an important evaluation index of performance. The main purpose of this paper is to evaluate the storage reliability using prospect theory combined with grey target theory. Transformation operator with the features of the `rewarding good and punishing bad´ is used to standardize the original data and the positive and negative bull´s-eye are defined. The optimization model to maximize the value of comprehensive prospects was constructed. The schemes were sorted according to comprehensive prospect value and the optimal solution was chosen. Finally the practicability and feasibility of the model was proved by an example.
Keywords :
"Humidity","Artificial neural networks","Reliability theory"
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8374-2
Type :
conf
DOI :
10.1109/GSIS.2015.7301885
Filename :
7301885
Link To Document :
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