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Artificial Intelligence
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Fundamenta Informaticae
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Rough Sets: Theoretical Aspects of Reasoning about Data
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Annals of Mathematics and Artificial Intelligence
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ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A systematic approach to the assessment of fuzzy association rules
Data Mining and Knowledge Discovery
Version space learning for possibilistic hypotheses
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A Qualitative Bipolar Argumentative View of Trust
SUM '07 Proceedings of the 1st international conference on Scalable Uncertainty Management
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Proceedings of the 2009 ACM symposium on Applied Computing
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Environmental Modelling & Software
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This paper surveys various areas in information engineering where an explicit handling of positive and negative sides of information is appropriate. Three forms of bipolarity are laid bare. They can be instrumental in logical representations of incompleteness, rule representation and extraction, argumentation, and decision analysis.