a multiple criteria decision analysis method for alternative assessment results obeying a particular distribution and application
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ID: 156264
2018
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Abstract
A multiple criteria decision analysis (MCDA) problem is studied in this paper, for which the evaluation results obey a particular distribution. First, when solving a multiple criteria decision analysis (MCDA) problem, a grey target decision analysis framework is proposed to determine uncertain parameters and criteria weights. A measurement for comprehensive off-target distance is defined, which includes the undetermined parameters. Second, to satisfy the requirements of a specific distribution (such as a normal distribution) in the assessment results, an optimization model that incorporates the off-target distance constraints is proposed by considering the skewness and kurtosis test method. Third, a particle swarm optimization (PSO) algorithm is extended to solve the proposed model by seeking the appropriate parameters and weights. Fourth, a numerical example is applied to demonstrate the feasibility and application of the proposed method. In the end, the proposed model is extended to other distribution requirements.
| Reference Key |
he-hua2018mathematicala
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|---|---|
| Authors | ;Wang He-Hua;Zhu Jian-Jun;Gu Xiao-Yan;Chen Ye |
| Journal | journal of power sources |
| Year | 2018 |
| DOI |
10.1155/2018/2108726
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| URL | |
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