基于容差优势关系的粗糙集模型与其应用-研究

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1、万方数据basedontolerancedominancerelation．Thearticlegivestheconceptsofroughdegree，roughentropyandfuzzydegree．Usethemtomeasuretheuncertaintyofroughset．Andtherearedefiniterelationsanddifferencesbetweenthem．Thirdly,theattributereductionproblemoftheorderinfo

2、rmationsystemonthetolerancedominancerelationiSstudied．Tomaintainthetolerancedominanceclassoftheorderinformationsystemthesame，thepapergivesthedefinitionofattributereductionundertheorderinformationsystemonthetolerancedominancerelation．Accordingtothedef

3、initionofattributereduction，thealgorithmofattributereductionisproposedanditstimecomplexityisanalyzed．Fourthly,theprojectsortingproblemoftheorderinformationsystemonthetolerancedominancerelationisstudied．Basingontolerancedominancerelation，thedefinition

4、ofdominantdegreeisobtainedandaprojectsortingmethodbasingonthetolerancedominancerelationisproposed．Thesortingmethodisappliedtothecomprehensivelyevaluateofsmartgrid．Theresultsshowthatcomparedtotheclassicaldominancerelation，thetolerancedominancerelation

5、possessesstrongercapabilityoffaulttoleranceforthedata．Finally,inincongruousdecision—makingorderinformationsystem，tomaintaintherelativelycoordinationoftheinformationsystemthesame，thepapergivesthedistributionreductionandmaximumdistributionreductionofth

6、eincongruousorderinformationsystemonthetolerancedominancerelation．ThetheoremofcorrespondingreductiondecisionispresentedanditsIV万方数据relatedpropertiesarediscussed．Inaddition，tomaintainthedeterministiccladficati(ofeachdecision．makingclasstheystem,classl

7、hcatlonoteachdecisionmakingclassthesameinthesystem．thearticle-givesthelowerapproximationreductionoftheincongruousorderinformationsystembasedonthetolerancedominancerelation．Andthedecisiontheoremoflowerapproximationreductionandthecalculationmethodaregi

8、ven．KEYWORDS：roughset；orderinformationsystem；tolerancedominancerelation；attributereduction；sortingmethodV万方数据VI万方数据目录第1章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．1本文研究背景和意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．11．2国内外研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．11．2．1粗糙集理论研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．2．2优势关系粗糙集研究现状