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Fuzzy Implications and Inference Processes

In: Computing and Informatics, vol. 24, no. 6
J. Tick - J. Fodor

Details:

Year, pages: 2005, 591 - 602
Keywords:
Fuzzy inference, implications, t-norms and t-conorms, nilpotent minimum
About article:
We define fuzzy implications in general, then study their families defined from t-norms, t-conorms and strong negations. Connections between such implications and negations are established. Some basic results are presented concerning the contrapositive symmetry property. The study gives birth to a new class of t-norms. Members of this family, together with the corresponding R-implications, have attractive properties making them competitive in different applications, especially in fuzzy inference rules.
How to cite:
ISO 690:
Tick, J., Fodor, J. 2005. Fuzzy Implications and Inference Processes. In Computing and Informatics, vol. 24, no.6, pp. 591-602. 1335-9150.

APA:
Tick, J., Fodor, J. (2005). Fuzzy Implications and Inference Processes. Computing and Informatics, 24(6), 591-602. 1335-9150.