NDLI: Storage reliability evaluation model based on grey target theory combined with prospect theory

Content Provider	IEEE Xplore Digital Library
Author	Jiefang Liu Sifeng Liu Zhigeng Fang
Copyright Year	2015
Description	Author affiliation: Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Zhigeng Fang) \|\| Inst. for Grey Syst. Studies, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Sifeng Liu) \|\| Sch. of Math. Sci., Henan Inst. of Sci. & Technol., Xinxiang, China (Jiefang Liu)
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.
Sponsorship	IEEE
Starting Page	374
Ending Page	377
File Size	315635
Page Count	4
File Format	PDF
ISBN	9781479983742
e-ISBN	9781479983759
DOI	10.1109/GSIS.2015.7301885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-18
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	prospect theory complex systems storage reliability Humidity Artificial neural networks Reliability theory grey target
Content Type	Text
Resource Type	Article

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