The Community for Technology Leaders
Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 277-281
ABSTRACT
Intuitionistic Fuzzy S-Rough sets(IFS-RS) is a new concept that combination of Intuitionistic Fuzzy sets(IFS) theories and S-Rough sets(S-RS) theories, Based on the concept of IFS-RS, to the questions of propositional calculus on Intuitionistic Fuzzy S-Rough Logic (IFS-RL), a synthetic method for finding the truth of IFS-RL propositions using membership and hesitancy degree is proposed. The fundamental operation rules on IFS-RL propositions are exposed in this paper. The emphasized investigation is the techniques for approximate reasoning on IFS-RL, including the implications, the conditions, the multiplications, and the multi-dimensions on IFS-RL, etc. The related sets of mathematical formulas of inference compositional operations are derived. Finally, the correctness and validity of the developed methods are verified and the detailed steps of verification are shown with a particular instance.
INDEX TERMS
Intuitionistic Fuzzy S-Rough sets, Intuitionistic Fuzzy S-Rough Logic, approximate reasoning
CITATION
Hu Jun-hong, Lei Ying-jie, "Techniques for Approximate Reasoning Based on Intuitionistic Fuzzy S-Rough Logic", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 277-281, 2008, doi:10.1109/PACIIA.2008.176
90 ms
(Ver 3.3 (11022016))