資源描述:
《TL模糊粗糙集及群上的TL模糊粗糙集研究》由會員上傳分享,免費在線閱讀,更多相關內容在學術論文-天天文庫。
1、兩南交通大學研究生學位論文TL.模糊粗糙集及群上的TL.模糊粗糙集研究年姓級.-00四級名方婷婷申請學位級別專業(yè)指導教師碩士應用數(shù)學吳建樂副教授二OO七年四月AbstractSincethenotionofroughsetwasoriginallyproposedbyPawlak,ithasbeendevelopedinpracticequicklyandhasshowngreatsuperiority,especiallyinKnowledgediscovery,Dataminingetc.Duringthedevelopm
2、entofroughsetstheory,scholarshavepaidgreatattentiontoconstructingnewroughmodelandinvestigatingnewtheoriesbyconnectingthetheoryofroughsetswithothertheories,suchasfuzzysets,operatortheory,evidencetheoryandSOon.ComparingwithPawlakroughmodel,constructinganewroughmodelis
3、carriedoutmainlyfromthreeaspects:universe,relation,andapproximatedsets.ThisthesisisbasedonT-fuzzyroughsetandextendfuzzysettoL·fuzzyset,T-fuzzysimilarlyrelationtoTL-fuzzysimilarlyrelation.Moreover,thetriangularnormonacompletecompletelydistributivelatticeandconjunctio
4、noDeratoraredeemedintheliteraturebyextendinginterval【0,1】tocompletecompletelydistributivelattice,andtherelationbetweenwhichandtheresiduallatticeisdiscussed.Basedontheabovetheories,TL—fuzzyroughsdisproposed,andthepropertiesoftheupperandlowerapproximationofL-fuzzysets
5、.WeCaninducetheconceptoftheroughalgebra,suchasroughgroups,roughidealsetc,byintroducingtheroughsettothecrispalgebraicstructure.Inthisthesis,basedOilthepresentliteraturetheupperandlowerapproximationsofaTL—fuzzysetarcdeemedbyintroducingthetheoriesofgrouptoTL—fuzzyrough
6、sets.WealsodiscusstheapproximationoftheproductofTL—fuzzygroupandcompoundofTL.fuzzyrelationinthethesis.Inaddition,thepropertiesoftheapproximationofTL—fuzzysubgroupunderthehomomorphismarealsoinvestigated.Atlast,atheorydescribestheupperapproximationofTL·fuzzyfactorgrou
7、p.Keywords:Fuzzyroughset;TL—fuzzyroughset;TL—fuzzysubgroup;RoughTL—fuzzysubgroup西南交通大學碩士研究生學位論文第1頁第1章緒論1.1本文的研究背景及國內外研究現(xiàn)狀粗糙集111(RoughSets)作為一種處理不確定、不精確與不完整信息的工具,于1982年由波蘭學者Pawlak首先提出。在其后的幾十年里,各國學者在各個方面對粗糙集理論進行研究推廣與應用,芳且已經(jīng)取得了豐碩的成果。特別是它在機器學習、知識發(fā)現(xiàn)、數(shù)據(jù)挖掘、決策支持、醫(yī)療系統(tǒng)等方面的成功應
8、用更是推動粗糙集理論向各個方向推廣。對粗糙集的應用方面的研究主要集中在知識的約簡,規(guī)則的提取等方面,因為這些都是與信息系統(tǒng)的知識發(fā)現(xiàn)所密切相關的東西。因為Pawlak粗糙集模型中有三個最基本的要素:一個論域【廠,c,上的~個等價二元關系R(或劃分),它們共同構成一個近似空間∥