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
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"
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8374-2
DOI :
10.1109/GSIS.2015.7301885