Fuzzy Implications and Inference Processes
József Tick ; János Fodor
Computing and Informatics, Tome 28 (2012) no. 1, / Harvested from Computing and Informatics
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.
Publié le : 2012-01-26
Classification:  Fuzzy inference; implications; t-norms and t-conorms; nilpotent minimum
@article{cai402,
     author = {J\'ozsef Tick and J\'anos Fodor},
     title = {Fuzzy Implications and Inference Processes},
     journal = {Computing and Informatics},
     volume = {28},
     number = {1},
     year = {2012},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai402}
}
József Tick; János Fodor. Fuzzy Implications and Inference Processes. Computing and Informatics, Tome 28 (2012) no. 1, . http://gdmltest.u-ga.fr/item/cai402/