Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Probabilistic coverage of linguistic IF-THEN rules
Ist Teil von
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016, p.798-803
Ort / Verlag
IEEE
Erscheinungsjahr
2016
Quelle
IEEE Electronic Library Online
Beschreibungen/Notizen
Fuzzy associational analysis (FAA) is useful for solving various regression tasks. Mined fuzzy associations can be used as fuzzy IF-THEN rules in a fuzzy expert system, which is then able to predict some variable that appears on the right hand side of IF-THEN rules. In this paper we investigate fuzzy IF-THEN rules reduction methods. We propose a new probabilistic data coverage measure for evaluating quality of a set of IF-THEN rules. We also propose a rule reduction procedure based on this measure and compare it theoretically and experimentally in the context of Perception-based Logical Deduction.