Fuzzy Sets and Systems
Using approximate reasoning to represent default knowledge
Artificial Intelligence
A mathematical programming approach to inference with the capability to implement default rules
Machine learning and uncertain reasoning
Knowledge-based successive linear programming for linearly constrained optimization
Machine learning and uncertain reasoning
Intuition in soft decision analysis
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
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In this paper, the authors consider Yager's mathematical programming approach for reasoning in knowledge representation situations associated with multiple default rules. Further, the notion of intuitionistic fuzziness is considered and the possibility of defining IF default rules are explored.