INTUITIONISTIC FUZZY ANN USING LINEAR SPACE TECHNIQUES & PYTHON - Brossura

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

 
9786209749650: INTUITIONISTIC FUZZY ANN USING LINEAR SPACE TECHNIQUES & PYTHON
Brossura
ISBN 10: 6209749658 ISBN 13: 9786209749650
Casa editrice: LAP LAMBERT Academic Publishing, 2026

Sinossi

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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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2026
Lingua
Inglese
ISBN 10 
6209749658
ISBN 13 
9786209749650
Rilegatura
Copertina flessibile
Numero di pagine
160
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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