Abstract
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.
Keywords
Cite this article
@article{cai-1575,
author = {József Tick and János Fodor},
title = {Fuzzy Implications and Inference Processes},
journal = {Computing and Informatics},
volume = {24},
number = {6},
pages = {591--602},
year = {2005},
issn = {1335-9150},
url = {https://cai.type.sk/content/2005/6/fuzzy-implications-and-inference-processes/}
}
TY - JOUR AU - József Tick AU - János Fodor TI - Fuzzy Implications and Inference Processes JO - Computing and Informatics VL - 24 IS - 6 SP - 591 EP - 602 PY - 2005 SN - 1335-9150 UR - https://cai.type.sk/content/2005/6/fuzzy-implications-and-inference-processes/ KW - Fuzzy inference KW - implications KW - t-norms and t-conorms KW - nilpotent minimum ER -
Tick, J., & Fodor, J. (2005). Fuzzy Implications and Inference Processes. Computing and Informatics, 24(6), 591–602. https://cai.type.sk/content/2005/6/fuzzy-implications-and-inference-processes/