[1]陈华友,刘春林.群决策中基于不同偏好信息的相对熵集成方法[J].东南大学学报(自然科学版),2005,35(2):311-315.[doi:10.3969/j.issn.1001-0505.2005.02.033] 　Chen Huayou,Liu Chunlin.Relative entropy aggregation method in group decision making based on different types of preference information[J].Journal of Southeast University (Natural Science Edition),2005,35(2):311-315.[doi:10.3969/j.issn.1001-0505.2005.02.033] 点击复制 群决策中基于不同偏好信息的相对熵集成方法() 分享到： var jiathis_config = { data_track_clickback: true };

35

2005年第2期

311-315

2005-03-20

文章信息/Info

Title:
Relative entropy aggregation method in group decision making based on different types of preference information

1 南京大学工程管理学院, 南京 210093; 2 安徽大学数学系, 合肥 230039; 3 南京大学商学院, 南京 210093
Author(s):
1 School of Management Science and Engineering, Nanjing University, Nanjing 210093, China
2 Department of Mathematics, Anhui University, Heifei 230039, China
3 Business School, Nanjing University, Nanjing 210093, China

Keywords:

N945.25
DOI:
10.3969/j.issn.1001-0505.2005.02.033

Abstract:
The problem of group decision making based on different types of preference information is studied. Experts usually provide four forms of preference information to the set of alternatives by their personalities during group decision making, which includes preference ordering and utility value giving the orders of alternatives directly, reciprocal judgement matrix and fuzzy complementary judgement matrix obtained by pair comparison between two alternatives.First the computational formulas are given to uniform three types of preference information, i.e. preference ordering, reciprocal judgement matrix and fuzzy complementary judgement matrix, into the form of utility value. Then a relative entropy aggregation optimal model is proposed from the concept of relative entropy, and the solution of this model is also given. Finally two examples are analyzed to show the effectiveness of this model.

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