FUZZY LOGIC VIA COMPUTING WITH WORDS IN GYNAECOLOGY DISEASES

Sardesai, Anjali Shailesh; Kharat, Vilas (Guide); Deshpande, Ashok (Co- Guide); Sambarey, Pradip (Co- Guide)

dc.contributor.author	Sardesai, Anjali Shailesh
dc.contributor.author	Kharat, Vilas (Guide)
dc.contributor.author	Deshpande, Ashok (Co- Guide)
dc.contributor.author	Sambarey, Pradip (Co- Guide)
dc.date.accessioned	2020-02-04T10:54:04Z
dc.date.available	2020-02-04T10:54:04Z
dc.date.issued	2016-11
dc.identifier.uri	http://hdl.handle.net/123456789/112
dc.description	Over 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.iso	en	en_US
dc.publisher	UNIVERSITY OF PUNE	en_US
dc.subject	COMPUTER SCIENCE	en_US
dc.subject	FUZZY LOGIC	en_US
dc.subject	COMPUTING WITH WORDS	en_US
dc.subject	FUZZY LOGIC IN MEDICINE	en_US
dc.subject	FUZZY LOGIC IN HEALTH CARE	en_US
dc.subject	FUZZY EXPERT SYSTEMS IN MEDICAL DIAGNOSTICS	en_US
dc.subject	GYNAECOLOGICAL DISORDERS	en_US
dc.subject	SOFT COMPUTING METHODS FOR GYNAECOLOGY DISEASE DIAGNOSIS	en_US
dc.subject	TYPE1 FUZZY INFERENCE SYSTEM (T1FS)	en_US
dc.subject	FUZZY CLASSIFICATION OF PATIENTS	en_US
dc.subject	CRISP CLASSIFICATION	en_US
dc.subject	GOWER'S COEFFICIENT	en_US
dc.subject	DISEASE FUZZY OCCURRENCE INDICATION MATRIX	en_US
dc.subject	DISEASE FUZZY CONFIRMABILITY INDICATION MATRIX	en_US
dc.subject	Prof. Lotfi Zadeh’s Fuzzy Set Theory	en_US
dc.title	FUZZY LOGIC VIA COMPUTING WITH WORDS IN GYNAECOLOGY DISEASES	en_US
dc.type	Ph.D Thesis	en_US