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Zastosuj identyfikator do podlinkowania lub zacytowania tej pozycji: http://hdl.handle.net/20.500.12128/21506
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dc.contributor.authorKudłacik, Przemysław-
dc.date.accessioned2021-09-17T10:28:56Z-
dc.date.available2021-09-17T10:28:56Z-
dc.date.issued2021-
dc.identifier.citation"International Journal of Applied Mathematics and Computer Science" 2021, no. 3, s. 431-444pl_PL
dc.identifier.issn1641-876X-
dc.identifier.issn2083-8492-
dc.identifier.urihttp://hdl.handle.net/20.500.12128/21506-
dc.description.abstractFuzzy inference using the conjunctive approach is very popular in many practical applications. It is intuitive for engineers, simple to understand, and characterized by the lowest computational complexity. However, it leads to incorrect results in the cases when the relationship between a fact and a premise is undefined. This article analyses the problem thoroughly and provides several possible solutions. The drawbacks of uncertainty in the conjunctive approach are presented using fuzzy inference based on a fuzzy truth value, first introduced by Baldwin (1979c). The theory of inference is completed with a new truth function named 0-undefined for two-valued logic, which is further generalized into fuzzy logic as α-undefined. Eventually, the proposed modifications allow altering existing implementations of conjunctive fuzzy systems to interpret the undefined state, giving adequate results.pl_PL
dc.language.isoenpl_PL
dc.rightsUznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/*
dc.subjectfuzzy inferencepl_PL
dc.subjectconjunctive approachpl_PL
dc.subjectfuzzy truth valuepl_PL
dc.titleUncertainty in the conjunctive approach to fuzzy inferencepl_PL
dc.typeinfo:eu-repo/semantics/articlepl_PL
dc.identifier.doi10.34768/amcs-2021- 0029-
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