UDC 681.3
AN APPROACH TO FINDING CREDIBILITY ESTIMATES IN FUZZY MODELING
Abstract. The author proposes an approach to finding numerical estimates of the credibility of fuzzy knowledge in fuzzy logical inference systems. The “input–output” type system is modeled by means of fuzzy logic. According to Mamdani’s rule, the output of the system is found in the form of fuzzy knowledge with subsequent calculation of its credibility. Elements of the probability theory of fuzzy events are used to calculate the credibility of fuzzy knowledge. An example of calculating the credibility of fuzzy knowledge is given.
Keywords: fuzzy set, conditional probability of a fuzzy event, fuzzy rule.
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REFERENCES
- Klir G.J., Yuan B. (Eds.). Fuzzy sets, fuzzy logic and fuzzy systems: Selected papers by Lotfi A. Zadeh. Advances in Fuzzy Systems — Applications and Theory. Vol. 6. Singapore: World Scientific, 1996. 848 p. https://doi.org/10.1142/2895.
- Leski J. Systemy neuronowo-rozmyte. Warszawa: Wydawnictwa Naukowo-Techniczne, 2008. 690 s.
- Provotar A.I., Lapko A.V., Provotar A.A. Fuzzy inference systems and their applications. Cybernetics and Systems Analysis. 2013. Vol. 49, N 4. P. 517–525. https://doi.org/10.1007/s10559-013-9537-9.
- Rutkowska D., Pilinski M., Rutkowski L. Sieci neuronowe, algorytmy genetyczne i systemy rozmyte. Warszawa: Wydawnictwo Naukowe PWN, 1997. 412 s.
- Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Syst. 1999. Vol. 100, Suppl. 1. P. 9–34. https://doi.org/10.1016/S0165-0114(99)80004-9.
- Kosko B. Fuzzy systems as universal approximators. IEEE Transactions on Computers. 1994. Vol. 43, N 11. P. 1329–1333.
- Buckley J.J. Fuzzy probabilities: New approach and applications. Studies in Fuzziness and Soft Computing. Vol. 115. Berlin; Heidelberg: Springer, 2005. 165 p. https://doi.org/10.1007/3-540-32388-0.
- Vejnarovї J. Conditional independence relations in possibility theory. Int. J. Uncertainty, Fuzziness and Knowledge-Based Systems. 2000. Vol. 08, N 03. P. 253–269. https://doi.org/10.1142/S0218488500000186.
- Provotar O.I., Provotar O.O. Credibility in fuzzy inference systems. Cybernetics and Systems Analysis. 2017. Vol. 53, N 6. P. 866–876. https://doi.org/10.1007/s10559-017-9988-5.