Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
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Information Sciences—Informatics and Computer Science: An International Journal
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Information Sciences: an International Journal
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Domain semantics of possibility computations
Information Sciences: an International Journal
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Information Sciences: an International Journal
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Computers & Mathematics with Applications
Information Sciences: an International Journal
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FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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International Journal of Approximate Reasoning
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International Journal of Approximate Reasoning
Robustness analysis of full implication inference method
International Journal of Approximate Reasoning
On robustness of the full implication triple I inference method with respect to finer measurements
International Journal of Approximate Reasoning
Truth degree analysis of fuzzy reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper discusses the full implication inference of fuzzy reasoning. For all residuated implications induced by left continuous t-norms, unified @a-triple I algorithms are constructed to generalize the known results. As the corollaries of the main results of this paper, some special algorithms can be easily derived based on four important residuated implications. These algorithms would be beneficial to applications of fuzzy reasoning. Based on properties of residuated implications, the proofs of the many conclusions are greatly simplified.