Improved TODIM approach for alternative evaluation based on cloud model

被引：2
|
作者：
Gong X. [1 ]
Yu C. [1 ]
机构：
[1] School of Information Management & Engineering, Shanghai University of Finance & Economics, Shanghai
来源：
| 2018年 / Chinese Institute of Electronics卷 / 40期
关键词：
Alternative evaluation; Cloud model; Distance measure; Interactive multi-attribute decision making (TODIM) method;
D O I：
10.3969/j.issn.1001-506X.2018.07.18
中图分类号：
学科分类号：
摘要：
To overcome the drawback of traditional alternative evaluation approaches, which only consi-dered the fuzziness of evaluation information without considering the randomness of the information, an improved interactive multi-attribute decision making (TODIM) approach based on cloud model is proposed, in which the reference dependence and loss aversion behaviors of the decision maker are considered. Firstly, the cloud model is used to quantize the linguistic evaluation variable. Secondly, arithmetic mean cloud is defined. The dynamic weights of experts are determined by analyzing the similarity between the given expert evaluation cloud and the arithmetic mean cloud, based on the distance measure about the cloud model. Besides, the weighted decision matrix is constructed by integrating the cloud models of experts. Thirdly, the positive and negative ideal cloud models are defined. To maximize the overall closeness degree for all of the alternatives, a linear programming model is established to determine the criteria weights. Finally, the cloud-TODIM method based on the distance measure about the cloud model is used to calculate the overall dominance degree of each alternative relative to all others and obtain the ranking result of alternatives. A case study of cloud service providers evaluation and selection is presented to illustrate the effectiveness of the proposed approach. © 2018, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1539 / 1547
页数：8
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