Provotar O.I., Provotar O.O.
Credibility in fuzzy inference systems

The authors propose an approach to find numerical characteristics of initial data in fuzzy inference systems. Such characteristics are calculated based on probabilistic estimates for fuzzy events and Bayes’ formula generalized to the fuzzy case and are called credibilities of fuzzy events. © 2017, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: credibility, fuzzy inference system, fuzzy set, probability of a fuzzy event, Fuzzy sets, Fuzzy systems, credibility, Fuzzy case, Fuzzy events, Fuzzy inference systems, Numerical characteristics, Probabilistic estimates, Fuzzy inference

Cite:
Provotar O.I., Provotar O.O. (2017). Credibility in fuzzy inference systems. Cybernetics and Systems Analysis, 53 (6), 54-63. doi: https://doi.org/10.1007/s10559-017-9988-5 http://jnas.nbuv.gov.ua/article/UJRN-0000782700 [In Ukrainian].