Buch, Englisch, 146 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 3613 g
Buch, Englisch, 146 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 3613 g
ISBN: 978-3-319-45927-1
Verlag: Springer International Publishing
This book develops applications of novel generalizations of fuzzy information measures in the field of pattern recognition, medical diagnosis, multi-criteria and multi-attribute decision making and suitability in linguistic variables. The focus of this presentation lies on introducing consistently strong and efficient generalizations of information and information-theoretic divergence measures in fuzzy and intuitionistic fuzzy environment covering different practical examples. The target audience comprises primarily researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geisteswissenschaften Sprachwissenschaft Angewandte Sprachwissenschaft
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen
- Mathematik | Informatik EDV | Informatik Informatik Berechenbarkeitstheorie, Komplexitätstheorie
Weitere Infos & Material
Fundamentals of Fuzzy Information Measures.- Parametric Generalized R?Norm Fuzzy Information and Divergence Measures.- Parametric Generalized R?Norm Fuzzy Information and Divergence Measures.- Parametric Generalized Exponential Fuzzy Divergence Measure and Strategic Decision Making.- Sequence and Application of Inequalities Among Fuzzy Mean Difference Divergence Measures in Pattern Recognition.- Applications of Generalized Fuzzy Divergence Measure in Multi-criteria Decision Making and Pattern Recognition.- Generalized Hellinger’s Fuzzy Divergence Measure and Its Applications.- Intuitionistic Fuzzy Exponential Divergence and Multi-Attribute Decision Making.