Prediction of Diabetes using Vague Set Theory - Couverture souple

Raheja, Supriya ; Jain, Vaishali

9783330074569: Prediction of Diabetes using Vague Set Theory

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ISBN 10 : 3330074566 ISBN 13 : 9783330074569

Editeur : LAP LAMBERT Academic Publishing, 2017

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Disease diagnosis is very important for the treatment of the disease. Therefore a more accurate diagnosis mechanism is required that can accurately diagnose the disease in its early stage. This study aims to develop a diabetes diagnosis mechanism that can accurately predict whether a person is diabetic or not based on the given input data of patients. Two expert systems have been proposed. One is Fuzzy Logic Based Diabetes Diagnosis System (FLDDS) which is based on the fuzzy logic and other one is Vague Diabetes Diagnosis System (VDDS) which is based on the concept of vague logic.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2017
Langue: anglais
ISBN 10: 3330074566
ISBN 13: 9783330074569
Reliure: Broch�
Nombre de pages: 92
Coordonn�es du fabricant: non disponible
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Prediction of Diabetes using Vague Set Theory

Supriya Raheja

Edit� par LAP LAMBERT Academic Publishing Apr 2017, 2017

ISBN 10 : 3330074566 ISBN 13 : 9783330074569

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Disease diagnosis is very important for the treatment of the disease. Therefore a more accurate diagnosis mechanism is required that can accurately diagnose the disease in its early stage. This study aims to develop a diabetes diagnosis mechanism that can accurately predict whether a person is diabetic or not based on the given input data of patients. Two expert systems have been proposed. One is Fuzzy Logic Based Diabetes Diagnosis System (FLDDS) which is based on the fuzzy logic and other one is Vague Diabetes Diagnosis System (VDDS) which is based on the concept of vague logic. 92 pp. Englisch. N� de r�f. du vendeur 9783330074569

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Prediction of Diabetes using Vague Set Theory

Raheja, Supriya; Jain, Vaishali

Edit� par LAP LAMBERT Academic Publishing, 2017

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Prediction of Diabetes using Vague Set Theory

Raheja, Supriya; Jain, Vaishali

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Prediction of Diabetes using Vague Set Theory

Raheja, Supriya; Jain, Vaishali

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Prediction of Diabetes using Vague Set Theory

Supriya Raheja|Vaishali Jain

Edit� par LAP LAMBERT Academic Publishing, 2017

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Raheja SupriyaDr Supriya Raheja, is currently working as a Senior Assistant Professor, NCU. She has more than 10 years of extensive teaching experience. She is a committed researcher in the field of Operating system and vague set the. N� de r�f. du vendeur 151236498

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Prediction of Diabetes using Vague Set Theory

Supriya Raheja

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Disease diagnosis is very important for the treatment of the disease. Therefore a more accurate diagnosis mechanism is required that can accurately diagnose the disease in its early stage. This study aims to develop a diabetes diagnosis mechanism that can accurately predict whether a person is diabetic or not based on the given input data of patients. Two expert systems have been proposed. One is Fuzzy Logic Based Diabetes Diagnosis System (FLDDS) which is based on the fuzzy logic and other one is Vague Diabetes Diagnosis System (VDDS) which is based on the concept of vague logic.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 92 pp. Englisch. N� de r�f. du vendeur 9783330074569

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Prediction of Diabetes using Vague Set Theory

Supriya Raheja

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 3330074566 ISBN 13 : 9783330074569

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Disease diagnosis is very important for the treatment of the disease. Therefore a more accurate diagnosis mechanism is required that can accurately diagnose the disease in its early stage. This study aims to develop a diabetes diagnosis mechanism that can accurately predict whether a person is diabetic or not based on the given input data of patients. Two expert systems have been proposed. One is Fuzzy Logic Based Diabetes Diagnosis System (FLDDS) which is based on the fuzzy logic and other one is Vague Diabetes Diagnosis System (VDDS) which is based on the concept of vague logic. N� de r�f. du vendeur 9783330074569

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