An introduction to bipolar representations of information and preference

被引:195
作者
Dubois, Didier [1 ]
Prade, Henri [1 ]
机构
[1] Univ Toulouse, IRIT, CNRS, Toulouse, France
关键词
D O I
10.1002/int.20297
中图分类号
TP18 [人工智能理论];
学科分类号
081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];
摘要
Bipolarity seems to pervade human understanding of information and preference, and bipolar representations look very useful in the development of intelligent technologies. Bipolarity refers to an explicit handling of positive and negative sides of information. Basic notions and background on bipolar representations are provided. Three forms of bipolarity are laid bare: symmetric univariate, dual bivariate, and asymmetric (or heterogeneous) bipolarity. They can be instrumental in the logical handling of incompleteness and inconsistency, rule representation and extraction, argumentation, learning, and decision analysis. (C) 2008 Wiley Periodicals, Inc.
引用
收藏
页码:866 / 877
页数:12
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