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Type-3 fuzzy logic and fractal theory for medical diagnosis
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Type-3 fuzzy logic and fractal theory for medical diagnosis/ by Patricia Melin, Oscar Castillo.
作者:
Melin, Patricia.
其他作者:
Castillo, Oscar.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
viii, 72 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Biomedical Engineering and Bioengineering. -
電子資源:
https://doi.org/10.1007/978-3-031-81655-0
ISBN:
9783031816550
Type-3 fuzzy logic and fractal theory for medical diagnosis
Melin, Patricia.
Type-3 fuzzy logic and fractal theory for medical diagnosis
[electronic resource] /by Patricia Melin, Oscar Castillo. - Cham :Springer Nature Switzerland :2025. - viii, 72 p. :ill. (chiefly color), digital ;24 cm. - SpringerBriefs in applied sciences and technology. Computational intelligence. - SpringerBriefs in applied sciences and technology.Computational intelligence..
Chapter 1. Introduction to Type-3 Fuzzy-Fractal Medical Diagnosis -- Chapter 2. A Type-3 Fuzzy-Fractal Approach for Tuberculosis Diagnosis -- Chapter 3. A Type-3 Fuzzy-Fractal Approach for Bone Analysis in Osteoporosis Diagnosis -- Chapter 4. A Type-3 Fuzzy-Fractal Approach for Leukemia Cancer Diagnosis -- Chapter 5. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Vascular Diseases based on Cardiac Vessels -- Chapter 6. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Mental Disorders -- Chapter 7. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Vascular Diseases based on Cerebral Vessels -- Chapter 8. Conclusions of Type-3 Fuzzy-Fractal Medical Diagnosis.
This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic and fractal theory techniques in medical diagnosis. In this book, a new model based on type-3 fuzzy logic and fractal theory for applications in medical diagnosis is presented. The main idea is that a higher type and order of fuzzy logic can help in solving various diagnosis problems and find better results. In addition, fractal theory is also employed for enhancing medical diagnosis. In this regard, several hybrid intelligent methods are offered. In this book, the authors test the proposed methods using several medical diagnosis problems, like diagnosis of problems in the brain, hearth, lungs, and others. The authors can notice that when type-3 fuzzy systems are implemented to model the behavior of systems, the results in diagnosis are enhanced, because the management of uncertainty is better. For this reason, the authors consider in this book the proposed methods using type-3 fuzzy systems and fractal theory to improve the diagnosis in complex medical problems.
ISBN: 9783031816550
Standard No.: 10.1007/978-3-031-81655-0doiSubjects--Topical Terms:
1211019
Biomedical Engineering and Bioengineering.
LC Class. No.: RC71.3
Dewey Class. No.: 616.075
Type-3 fuzzy logic and fractal theory for medical diagnosis
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Chapter 1. Introduction to Type-3 Fuzzy-Fractal Medical Diagnosis -- Chapter 2. A Type-3 Fuzzy-Fractal Approach for Tuberculosis Diagnosis -- Chapter 3. A Type-3 Fuzzy-Fractal Approach for Bone Analysis in Osteoporosis Diagnosis -- Chapter 4. A Type-3 Fuzzy-Fractal Approach for Leukemia Cancer Diagnosis -- Chapter 5. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Vascular Diseases based on Cardiac Vessels -- Chapter 6. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Mental Disorders -- Chapter 7. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Vascular Diseases based on Cerebral Vessels -- Chapter 8. Conclusions of Type-3 Fuzzy-Fractal Medical Diagnosis.
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This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic and fractal theory techniques in medical diagnosis. In this book, a new model based on type-3 fuzzy logic and fractal theory for applications in medical diagnosis is presented. The main idea is that a higher type and order of fuzzy logic can help in solving various diagnosis problems and find better results. In addition, fractal theory is also employed for enhancing medical diagnosis. In this regard, several hybrid intelligent methods are offered. In this book, the authors test the proposed methods using several medical diagnosis problems, like diagnosis of problems in the brain, hearth, lungs, and others. The authors can notice that when type-3 fuzzy systems are implemented to model the behavior of systems, the results in diagnosis are enhanced, because the management of uncertainty is better. For this reason, the authors consider in this book the proposed methods using type-3 fuzzy systems and fractal theory to improve the diagnosis in complex medical problems.
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