Five Kinds of Contradictory Relations and Opposite Relations in Inconsistent Knowledge
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
Differentiation and Processing of Contradictory Knowledge and Opposite Knowledge
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
A Logic Description on Different Negation Relation in Knowledge
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Fuzzy Sets and Systems
Fuzzy Comprehensive Evaluation Based on Measure of Medium Truth Scale
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 02
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Fuzzy set with three kinds of negations and its applications in fuzzy decision making
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Negation, opposition, and possibility in logical concept analysis
ICFCA'06 Proceedings of the 4th international conference on Formal Concept Analysis
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In [16], negation of fuzzy information were distinguished as contradictory negation, opposite negation and medium negation, and proposed a fuzzy propositional logic with contradictory negation, opposite negation and medium negation (FLcom). In order to show that FLcom is applicable for handling fuzzy proposition and its different negations, this paper studied the application of FLcom to fuzzy decision making in an example. We presented an approach to formal representation of fuzzy proposition and different negations in decision rules, and the measure of truth value of fuzzy proposition and threshold of truth value. Finally, we discussed reasoning and realization on fuzzy decision making in the example based FLcom and the fuzzy production rule.