Title :
Fuzzy knowledge-based approach to diagnosis tasks in stochastic environment
Author :
Walaszek-Babiszewska, Anna
Author_Institution :
Dept. of Control & Comput. Eng., Opole Univ. of Technol., Opole, Poland
Abstract :
This work deals with the creating probabilistic-fuzzy knowledge-based systems by using the theory of fuzzy systems as well as the probability and stochastic processes theory. We show that such systems can be applied in different diagnostic tasks. The structure of the reason-result fuzzy model has a form of weighted rules. Weights represent empirical probabilities of fuzzy statements in antecedents and consequent parts of rules. The calculated probabilities of fuzzy events are included into inference/forecast procedures.
Keywords :
diagnostic expert systems; forecasting theory; fuzzy reasoning; knowledge based systems; probability; stochastic processes; diagnostic tasks; forecast procedure; fuzzy events; fuzzy knowledge-based approach; inference procedure; probabilistic-fuzzy knowledge-based systems; reason-result fuzzy model; stochastic processes theory; task diagnosis; weighted rules; Bismuth; Cognition; Expert systems; Fuzzy sets; Pragmatics; Stochastic processes; diagnosis; fuzzy sets; knowledge-based systems; probability;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2013 IEEE 14th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-0194-4
DOI :
10.1109/CINTI.2013.6705237
