INTUITIONISTIC FUZZY ANN USING LINEAR SPACE TECHNIQUES & PYTHON: DE - Softcover

Robinson P, John; A, Saranraj; S A, Arun Raja

 
9786209749650: INTUITIONISTIC FUZZY ANN USING LINEAR SPACE TECHNIQUES & PYTHON: DE
Softcover
ISBN 10: 6209749658 ISBN 13: 9786209749650
Verlag: LAP LAMBERT Academic Publishing, 2026

Inhaltsangabe

Intuitionistic Fuzzy ANN Using Linear Space Techniques & Python presents a unified framework that integrates intuitionistic fuzzy set (IFS) theory with artificial neural networks (ANN) using linear space methodologies and computational tools in Python. The book addresses decision-making and learning problems involving uncertainty, hesitation, and incomplete information by embedding IFS-based representations, membership, non-membership, and hesitation into neural learning models. It systematically develops the mathematical foundations of IFS, linear algebraic learning structures, and ANN paradigms including perceptron, delta rule, and backpropagation. The proposed approach interprets learning geometrically through vector space concepts such as norms, projections, and transformations. The book also explores aggregation operators for MAGDM, hybrid fuzzy-neural architectures, and defuzzification-based learning strategies. Python implementations, algorithms, and case studies demonstrate applicability across engineering, environmental, healthcare, and policy decision systems, ensuring accuracy, stability, and reproducibility.

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Über die Autorin bzw. den Autor

Dr. P. John Robinson is Assistant Professor of Mathematics at Bishop Heber College, Tiruchirappalli. His research focuses on intuitionistic fuzzy sets, ANN-based MAGDM, and computational intelligence. He has published widely, guides postgraduate research, and develops innovative mathematical models integrating fuzzy theory and neural networks.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2026
Sprache
Englisch
ISBN 10 
6209749658
ISBN 13 
9786209749650
Einband
Taschenbuch
Anzahl der Seiten
160
Kontakt zum Hersteller
Editions Muse
customerservice@vdm-vsg.de

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Riga
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