Isbn: 9786209741463 - ann-based magdm problems under intuitionistic fuzzy environment (8 resultados)

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. ANN-Based MAGDM Problems under Intuitionistic Fuzzy Environment | John Robinson P (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209741463 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 128 pp. Englisch.

Paperback. Condición: new. Paperback. This book, "ANN-Based MAGDM Problems under Intuitionistic Fuzzy Environment," presents a systematic framework for addressing Multi-Attribute Group Decision-Making (MAGDM) problems under uncertainty by integrating intuitionistic fuzzy set (IFS) theory with Artificial Neural Networks (ANN). The book explains how IFS effectively models hesitation and imprecision in expert judgments, while ANN supports learning-based and consistent decision structures. It offers a comprehensive treatment of IFS concepts tailored to MAGDM, including aggregation operators, ranking procedures, and defuzzification strategies.The work further develops ANN architectures suitable for intuitionistic fuzzy inputs and discusses learning rules, convergence behavior, and ranking aspects within uncertain environments. Several illustrative case studies demonstrate real-world applicability across engineering, management, and data-driven decision systems. Designed for researchers, doctoral scholars, and postgraduate students, the book provides both theoretical insight and practical methodology for solving complex group decision-making problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book, 'ANN-Based MAGDM Problems under Intuitionistic Fuzzy Environment,' presents a systematic framework for addressing Multi-Attribute Group Decision-Making (MAGDM) problems under uncertainty by integrating intuitionistic fuzzy set (IFS) theory with Artificial Neural Networks (ANN). The book explains how IFS effectively models hesitation and imprecision in expert judgments, while ANN supports learning-based and consistent decision structures. It offers a comprehensive treatment of IFS concepts tailored to MAGDM, including aggregation operators, ranking procedures, and defuzzification strategies.The work further develops ANN architectures suitable for intuitionistic fuzzy inputs and discusses learning rules, convergence behavior, and ranking aspects within uncertain environments. Several illustrative case studies demonstrate real-world applicability across engineering, management, and data-driven decision systems. Designed for researchers, doctoral scholars, and postgraduate students, the book provides both theoretical insight and practical methodology for solving complex group decision-making problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book, 'ANN-Based MAGDM Problems under Intuitionistic Fuzzy Environment,' presents a systematic framework for addressing Multi-Attribute Group Decision-Making (MAGDM) problems under uncertainty by integrating intuitionistic fuzzy set (IFS) theory with Artificial Neural Networks (ANN). The book explains how IFS effectively models hesitation and imprecision in expert judgments, while ANN supports learning-based and consistent decision structures. It offers a comprehensive treatment of IFS concepts tailored to MAGDM, including aggregation operators, ranking procedures, and defuzzification strategies.The work further develops ANN architectures suitable for intuitionistic fuzzy inputs and discusses learning rules, convergence behavior, and ranking aspects within uncertain environments. Several illustrative case studies demonstrate real-world applicability across engineering, management, and data-driven decision systems. Designed for researchers, doctoral scholars, and postgraduate students, the book provides both theoretical insight and practical methodology for solving complex group decision-making problems.…