An Alternative Approach for Computing the Union and Intersection of Fuzzy Sets: A Basis for Design of Robust Fuzzy Controllers

dc.contributor.authorOlunloyo, V.O.S
dc.contributor.authorAjofoyinbo, A.M
dc.contributor.authorBadiru, A.B
dc.date.accessioned2016-05-03T17:14:55Z
dc.date.available2016-05-03T17:14:55Z
dc.date.issued2008-02-20
dc.descriptionConference Papersen_US
dc.description.abstractThe capability of fuzzy sets to express gradual transition from membership to non-membership and vice versa has broad utility. The overlap between two or more adjoining fuzzy sets create very important fuzzy “patch” that deserves special attention. In the existing literature, Zadeh, Mamdani and TagakiSugeno have established that the Min- and Max- operators can effectively be used for fuzzy interpolative inference. But what has not been done is to define an explicit expression for determining membership function in the overlap region. This paper addresses that concern, as it proposes an alternative approach to determination of membership function based on the Fourier series representation of the envelope of the fuzzy “patch”.en_US
dc.identifier.citationOlunloyo, V.O.S, Ajofoyinbo, A.M & Badiru, A.B (2008) An Alternative Approach for Computing the Union and Intersection of Fuzzy Sets: A Basis for Design of Robust Fuzzy Controllers. 7th WSEAS International Conference on Artificial Intelligence,Knowledge Engineering and Data Bases (AIKED'08), Held at University of Cambridge, UK.en_US
dc.identifier.isbn978-960-6766-41-1
dc.identifier.issn1790-5109
dc.identifier.urihttps://www.researchgate.net/publication/234820456_An_alternative_approach_for_computing_the_union_and_intersection_of_fuzzy_sets_a_basis_for_design_of_robust_fuzzy_controllers
dc.identifier.urihttp://ir.unilag.edu.ng:8080/xmlui/handle/123456789/639
dc.language.isoenen_US
dc.relation.ispartofseriesConference Papers;
dc.subjectFourier Seriesen_US
dc.subjectFuzzy Overlapen_US
dc.subjectTriangular Pulsesen_US
dc.subjectPolygonal Waveformen_US
dc.titleAn Alternative Approach for Computing the Union and Intersection of Fuzzy Sets: A Basis for Design of Robust Fuzzy Controllersen_US
dc.typePresentationen_US
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