Rough Set Processing Model for Fuzzy Decision Tables with Weights.pdfVIP

JOURNALOFELECTRONICSCIENCEANDTECHNOLOGY,VOL．9，NO．2，JUNE2011 133 RoughSetProcessingM odelforFuzzyDecision TableswithW eights Hao—D·ongZhuandHong-·ChanLi Abstrac}—-1heclassicalroughsetcan notshow the Section4providesarelevantattributereductionalgorihtm． fuzzinessand theimportanceofobjectsin decision Section5verifiesthenew roughsetmodelandtherelevant procedurebecauseitusesdefiniteform toexpresseach attribute reduction algorithm． Finally, the relevant object．Inordertosolvethisproblem，thispaperfirstly conclusionsaregiven． introducesaspecialdecisiontableinwhicheachobject hasamembershipdegreetoshow itsfuzzinessandhas 2．SpecialDecisionTable been assigned a weight to show its importance in Definition J． In special decision table decision procedure．Then，thespecialdecision tableis studiedandtherelevantroughsetmodelisprovided．In SDT=(U，C，D，V，f，／l，W)，U={uIu2，…，u}stands themeantime，relevantdefinitionsand theoremsare foralimitednonemptyobjectset，andeachobjectis proposed．On theabovebasis，an attribute reduction assignedamembershipdegreeandaweighttorepresentits algorithm ispresented．Finally,feasibilityoftherelevant fuzziness and its importance in decision process． roughsetmodelandthepresentedattributereduction C={c，，c2，…，cm} is the conditional attribute set． algorithm areverifiedbyauexample． D={ isthedecisionattributewithmembershipdegree． ／ndex TermsAttribute reduction，decision table， V= U isthesetofattributesvalues． isthe re(CUD) membershipdegree，roughset． valueofattributer．-厂：U×R V isamapping