Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/561384
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-04-27T11:31:38Z-
dc.date.available2024-04-27T11:31:38Z-
dc.identifier.urihttp://hdl.handle.net/10603/561384-
dc.description.abstractnewline
dc.format.extent1-122
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleNature Inspired Fuzzy Soft Set Based Feature Reduction Models
dc.title.alternative
dc.creator.researcherUddagiri Chandrasekhar
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideNeelu Khare
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology, Vellore
dc.publisher.institutionSchool of Information Technology and Engineering
dc.date.registered2010
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Information Technology and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File51.5 kBAdobe PDFView/Open
02_preliminary pages.pdf708.64 kBAdobe PDFView/Open
03_table of contents.pdf41.17 kBAdobe PDFView/Open
04_abstract.pdf28.95 kBAdobe PDFView/Open
05_chapter 1.pdf32.56 kBAdobe PDFView/Open
06_chapter 2.pdf36.55 kBAdobe PDFView/Open
07_chapter 3.pdf79.93 kBAdobe PDFView/Open
08_chapter 4.pdf543.29 kBAdobe PDFView/Open
09_chapter 5.pdf233.21 kBAdobe PDFView/Open
10_chapter 6.pdf531.61 kBAdobe PDFView/Open
11_chapter 7.pdf27.33 kBAdobe PDFView/Open
12_annexures.pdf569.53 kBAdobe PDFView/Open
80_recommendation.pdf71.44 kBAdobe PDFView/Open


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