Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/450966
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dc.date.accessioned2023-01-20T09:40:01Z-
dc.date.available2023-01-20T09:40:01Z-
dc.identifier.urihttp://hdl.handle.net/10603/450966-
dc.description.abstractIn every field of life, the evaluation process takes place in either form. Both qualitative and quantitative data analysis methods of user research play important roles in teaching-learning evaluation process. In this work, we present some fuzzy based mathematical tools and techniques for teaching learning evaluation for educational institutes. we have analysed various strategies followed like data cleaning and stability measure, evaluate student performance by using fuzzy inference system, multi criteria decision making method for selection of best alternative in terms of overall performance by using similarity measure, multi-criteria preference ranking method for ranking the alternatives in tie-situations. Mathematical tools and techniques are developed under fuzzy environment for teaching learning evaluation in educational institutes. newlineDescribed models used for evaluation are executed much faster and it can evaluate performance of alternatives in a more flexible and more intelligent manner newline
dc.format.extentxvii;133p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMathematical tools and techniques for teaching learning evaluation in educational institutes
dc.title.alternative
dc.creator.researcherRaval, Shweta Chandrakant
dc.subject.keywordEvaluation fuzzy model
dc.subject.keywordMathematics
dc.subject.keywordTeaching evaluation
dc.description.note
dc.contributor.guideTailor, Bhavika
dc.publisher.placeBarodli
dc.publisher.universityUka Tarsadia University
dc.publisher.institutionFaculty of Applied Science
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Applied Science

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01_title.pdfAttached File203.65 kBAdobe PDFView/Open
02_preliminary pages.pdf2.7 MBAdobe PDFView/Open
03_contents.pdf194.15 kBAdobe PDFView/Open
04_abstract.pdf166.22 kBAdobe PDFView/Open
05_chapter 1.pdf823.77 kBAdobe PDFView/Open
06_chapter 2.pdf452.3 kBAdobe PDFView/Open
07_chapter 3.pdf832.58 kBAdobe PDFView/Open
08_chapter 4.pdf994.24 kBAdobe PDFView/Open
09_chapter 5.pdf731.08 kBAdobe PDFView/Open
10_chapter 6.pdf1.93 MBAdobe PDFView/Open
11_chapter 7.pdf1.19 MBAdobe PDFView/Open
12_chapter 8.pdf1.24 MBAdobe PDFView/Open
13_annexures.pdf2.54 MBAdobe PDFView/Open
80_recommendation.pdf547.94 kBAdobe PDFView/Open


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