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A multistage risk decision making method for normal cloud model considering behavior characteristics
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DOI：10.1016/j.asoc.2019.02.033.png)
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It is difficult to make scientific decisions for multistage risk decision-making problems, which are mainly influenced by these challenges, such as uncertainty of information, the passage of time and complexity of the problems The multistage risk decision-making problem is analyzed for normal cloud model considering behavior characteristics in this paper. Firstly, considering the fuzziness and randomness of multi-stage risk decision-making information, the relative entropy and modified relative entropy are defined as the distance measures for the normal cloud model from the perspective of full utilization of information. Secondly, the prospect theory is extended to normal cloud model environment. Considering the behavior characteristics of reference dependence, two reference points are set up considering the short-term development and long-term development. Thirdly, the optimization model is built to obtain the attribute weights and stage weights based on the principle of maximizing the difference between ranking values. The ranking of alternatives is determined by the final ranking values. The case analysis and the method comparison illustrate the feasibility and rationality of the proposed method. (C) 2019 Elsevier B.V. All rights reserved.
Keyword:
Multistage risk decision making
Normal cloud model
Prospect theory
Reference dependence
Relative entropy
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6.6
论文数:
1.4W
被引数:
4.8W
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