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3、Ǒ8e,ƱúÙØ©Ü©½ÜS.£Ø©3) Åd5½¤Ø©ö¶µ¶µFϵFÁo÷8Ú/ªVg©Û´20V80©dÅ=êÆ[PawlakÚêÆ[WilleÑü?nêâêÆnØ.{²20õu,Ø=nØþõ,3ûü©Û!&Eu¢!y©Ûõ+p¤õA^.©Ì¤#:Xe:•ïÄ«m&EXÚá5{,Ñ
4、«Äu`³'Xá5{9Ùzé©a{{;éu«mûü&EXÚé8Ü¥?¿f8,3Æ«mûü&EXÚ¥,?رùf8¥zéûü5ØCá5{,3ØÆ«mûü&EXÚ¥,?Øùf8¥zéU©Ù¼ê!©Ù¼êØCá5{,¿Ñä{{.•3ëYêûü&EXÚ¥,·ÑÄuá5{Ú'éÝýÿ{.Ïá5{{'ûü5,ûü5¥á59Ùg©3'éÝýÿ¥µdÚëìS.Ïù«{±é«&E,Ø(½&E?1(ýÿ.•ÄuVg(äk g5!{ Vg¥üe
5、CVgSºk=ká5Ú"þCVgòk=ké,3/ªµ¥ÏE£á58ÚE£á5Ý,©¥Ñ«#ká5{{.'o÷8;«m&EXÚ;ëYêûü&EXÚ;'éÝ;E£Ý;Vg;{;ûüiAbstractRoughsetandFormalconceptanalysis,respectivelyproposedbyPawlakandWille,aretwomathematicaltheoriestoanalysisdata.Inthepasttwentyyears,thetwotheoriesnoto
6、nlygetin-depthstudiedbutalsoappliedbroadlyindecisionanalysis,informationretrievalandportfolioanalysis,etc.Inthispaper,themainresultsandinnovationsaresummarizedasfollows:•Attributereductionisstudied,methodsofattributereductionandeachobjectclassificationreduct
7、ionbasedondominancerelationareinvestigatedininterval-valuedinformationsystem.Asubsetisselectedfromobjectsininterval-valueddecisioninfor-mationsystems.Forconsistentinterval-valueddecisioninformationsystem,weobtainaattributereduciblemethodthateachdecisionrule
8、ofthesubsetisunchangedafterattributereduction.Forinconsistentinterval-valueddecisioninformationsystem,wegetaattributereduciblemethodthateachpossibleoruniformdistributionfunctionisunchangedforeachobjectinthesubsetafterattributereduction.•Forconsecutivegrayde
9、cisionsystem,wegetamethodwhichbasedonattributereductionandgrayrelationalgrade.Briefruleisobtainedbyattributereductionindecisionsystems.Theattributesofthebriefrulearetreatedasevaluationindicatorsandtheb