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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/112
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dc.contributor.authorSardesai, Anjali Shailesh-
dc.contributor.authorKharat, Vilas (Guide)-
dc.contributor.authorDeshpande, Ashok (Co- Guide)-
dc.contributor.authorSambarey, Pradip (Co- Guide)-
dc.date.accessioned2020-02-04T10:54:04Z-
dc.date.available2020-02-04T10:54:04Z-
dc.date.issued2016-11-
dc.identifier.urihttp://hdl.handle.net/123456789/112-
dc.descriptionOver the past decades, use of soft computing techniques such as Fuzzy Logic based methods, Neural Networks, Genetic Algorithms and alike have significant and growing impacts on environmental fields, health care systems, control systems etc. On careful scrutiny of relevant research efforts, it is observed that there has been limited use of these methods in medical decision support systems especially in Gynaecology. With this backdrop, an attempt has been made in this dissertation to demonstrate practical utility of Prof. Lotfi Zadeh’s Fuzzy Set Theory and a few statistical methods in ‘Gynaecology Disease Diagnosis’.en_US
dc.language.isoenen_US
dc.publisherUNIVERSITY OF PUNEen_US
dc.subjectCOMPUTER SCIENCEen_US
dc.subjectFUZZY LOGICen_US
dc.subjectCOMPUTING WITH WORDSen_US
dc.subjectFUZZY LOGIC IN MEDICINEen_US
dc.subjectFUZZY LOGIC IN HEALTH CAREen_US
dc.subjectFUZZY EXPERT SYSTEMS IN MEDICAL DIAGNOSTICSen_US
dc.subjectGYNAECOLOGICAL DISORDERSen_US
dc.subjectSOFT COMPUTING METHODS FOR GYNAECOLOGY DISEASE DIAGNOSISen_US
dc.subjectTYPE1 FUZZY INFERENCE SYSTEM (T1FS)en_US
dc.subjectFUZZY CLASSIFICATION OF PATIENTSen_US
dc.subjectCRISP CLASSIFICATIONen_US
dc.subjectGOWER'S COEFFICIENTen_US
dc.subjectDISEASE FUZZY OCCURRENCE INDICATION MATRIXen_US
dc.subjectDISEASE FUZZY CONFIRMABILITY INDICATION MATRIXen_US
dc.subjectProf. Lotfi Zadeh’s Fuzzy Set Theoryen_US
dc.titleFUZZY LOGIC VIA COMPUTING WITH WORDS IN GYNAECOLOGY DISEASESen_US
dc.typePh.D Thesisen_US
Appears in Collections:Ph.D Thesis

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Anjali Sardesai Thesis Final 19 Nov Color.pdfPH.D THESIS5.05 MBAdobe PDFView/Open


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