Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/460498
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dc.coverage.spatial
dc.date.accessioned2023-02-18T04:12:55Z-
dc.date.available2023-02-18T04:12:55Z-
dc.identifier.urihttp://hdl.handle.net/10603/460498-
dc.description.abstractnewline Novel Fuzzy And Neural Network Optimization Techniques For Inventory Models With Remanufacturing Strategy
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleNovel Fuzzy And Neural Network Optimization Techniques For Inventory Models With Remanufacturing Strategy
dc.title.alternative
dc.creator.researcherV KUPPULAKSHMI
dc.subject.keywordPhysical Sciences
dc.subject.keywordMathematics
dc.subject.keywordMathematics Applied
dc.description.note
dc.contributor.guideC SUGAPRIYA
dc.publisher.placeChennai
dc.publisher.universityUniversity of Madras
dc.publisher.institutionDepartment of Mathematics
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:Department of Mathematics

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01_title.pdfAttached File53.39 kBAdobe PDFView/Open
02_prelim pages.pdf3.04 MBAdobe PDFView/Open
03_content.pdf226.37 kBAdobe PDFView/Open
04_abstract.pdf90.48 kBAdobe PDFView/Open
05_chapter1.pdf417.33 kBAdobe PDFView/Open
06_chapter2.pdf1.05 MBAdobe PDFView/Open
07_chapter3.pdf1.01 MBAdobe PDFView/Open
08_chapter4.pdf933.53 kBAdobe PDFView/Open
09_chapter5.pdf956.14 kBAdobe PDFView/Open
10_chapter6.pdf719.62 kBAdobe PDFView/Open
11_chapter7.pdf572.65 kBAdobe PDFView/Open
12_annexures.pdf225.35 kBAdobe PDFView/Open
80_recommendation.pdf168.79 kBAdobe PDFView/Open


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