Relative entropy method for group decision making with grey interval information

被引：1

作者：

Gong Z.-W. ^{[1
]}

Li L.-S. ^{[1
]}

Luo H. ^{[2
]}

Yao T.-X. ^{[1
]}

机构：

[1] Research Center for Meteorological Engineering and Management, Nanjing Univ. of Information Science and Technology

[2] Shaanxi Provincial Meteorological Bureau

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2010年 / 32卷 / 07期

关键词：

Aggregation; Grey interval; Grey preference; Group decision making; Relative entropy;

D O I：

10.3969/j.issn.1001-506X.2010.07.021

中图分类号：

学科分类号：

摘要：

The research on aggregation method for group decision making with grey interval information is given. The grey interval judgment information is firstly transformed to the equivalent three-tuple grey preference, and then, this three-tuple is regarded as a probability distribution. Based on the consistent relation between the probability of collective grey preference and the probability of individual grey preference, the optimal relative entropy models for aggregating the judgment information of group decision making is developed, and the corresponding decision making procedures are also proposed. The ability evaluation of integrated service for weather bureau is provided to show that the relative entropy aggregating method can effectively avoid the information distortion for decision making.

引用

页码：1441 / 1444

页数：3

共 10 条

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