A Consensus Model in Group Decision Making Based on Interpolative Boolean Algebra

被引：0
|
作者：
Poledica, Ana [1 ]
Milosevic, Pavle [1 ]
Dragovic, Ivana [1 ]
Radojevic, Dragan
Petrovic, Bratislav [1 ]
机构：
[1] Univ Belgrade, Fac Org Sci, Jove Ilica 154, Belgrade 11000, Serbia
来源：
PROCEEDINGS OF THE 8TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT-13) | 2013年 / 32卷
关键词：
Consensus; Interpolative Boolean algebra; Group decision making; Similarity measure; Equivalence relation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to propose a soft consensus model based on interpolative Boolean algebra for group decision making problems. Consensus degrees are calculated on three levels (on pairs of alternatives, alternatives, collective level) by means of pseudo-logical aggregation. The relation of equivalence is employed as a similarity measure among experts' opinions. In fact real-valued realization of equivalence is used as a generalized Boolean polynomial. In the illustrative example of sustainable development problem, we have shown that the proposed model is appropriate to determine the level of agreement among experts.
引用
收藏
页码：648 / 654
页数：7
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