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dc.contributor.authorKondratenko, Y. P.-
dc.contributor.authorKlymenko, L. P.-
dc.contributor.authorAl Zu'bi, E. Y. M.-
dc.date.accessioned2025-08-27T11:58:06Z-
dc.date.available2025-08-27T11:58:06Z-
dc.date.issued2010-
dc.identifier.isbn978-981-4324-43-4-
dc.identifier.urihttps://www.webofscience.com/wos/woscc/full-record/WOS:000290974100007-
dc.identifier.urihttps://www.worldscientific.com/doi/abs/10.1142/9789814324441_0007-
dc.identifier.urihttps://dspace.chmnu.edu.ua/jspui/handle/123456789/2929-
dc.descriptionKondratenko, Y. P., Klymenko, L. P., & Al Zu'bi, E. Y. M. (2010). Structural optimization of linguistic knowledge base of fuzzy controllers. Computational Intelligence in Business and Economics. International Conference of Modelling and Simulation in Engineering, Economics and Management, 15–17 June 2010, Barcelona, 3, (35-42). World Scientific Publ CO PTE Ltd. Barcelona. DOI: 10.1142/9789814324441_0007uk_UA
dc.description.abstractThe paper considers the problem of developing effective methods and algorithms for optimization of fuzzy rules bases of Sugeno-type fuzzy controllers that can be applied to control of dynamic objects, including objects with non-stationary parameters. Proposed approach based on calculating the coefficient of influence of each of the rules on the formation of control signals for different types of input signals provides optimization of a linguistic rules database by using exclusion mechanism for rules with negligible influence.uk_UA
dc.language.isoenuk_UA
dc.publisherWORLD SCIENTIFIC PUBL CO PTE LTDuk_UA
dc.titleStructural optimization of linguistic knowledge base of fuzzy controllersuk_UA
dc.typeArticleuk_UA
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