Attributes reduct and decision rules optimization based on maximal tolerance classification in incomplete information systems with fuzzy decisions-中国Betway体育网页登陆

摘要 Anewapproachtoknowledgeacquisitioninincompleteinformationsystemwithfuzzydecisionsisproposed.Insuchincompleteinformationsystem,theuniverseofdiscourseisclassifiedbythemaximaltoleranceclasses,andfuzzyapproximationsaredefinedbasedonthem.Threetypesofrelativereductsofmaximaltoleranceclassesarethenproposed,andthreetypesoffuzzydecisionrulesbasedontheproposedattributedescriptionaredefined.ThejudgmenttheoremsandapproximationdiscernibilityfunctionswithrespecttothemarepresentedtocomputetherelativereductbyusingBooleanreasoningtechniques,fromwhichwecanderiveoptimalfuzzydecisionrulesfromthesystems.Atlast,threetypesofrelativereductsofthesystemandtheircomputingmethodsaregiven.

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Attributes reduct and decision rules optimization based on maximal tolerance classification in incomplete information systems with fuzzy decisions

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