Multi-Attribute Decision-Making: Bridging Theory and Practice
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Beschreibung
This book offers a comprehensive, mathematically grounded introduction to multi-attribute decision-making (MADM) for undergraduate, graduate, and doctoral students, as well as researchers in engineering, management, economics, and biology. It bridges theory and practice, covering fundamental concepts, advanced methods, and MATLAB implementations. Topics include critical, subjective, objective, and comprehensive weighting methods, ranking techniques, and their integration for solving complex decision problems. The book addresses challenges such as ranking abnormalities, complexity, and applicability in emerging applications. It also explores fuzzy MADM for handling uncertainty and non-sharp boundaries, highlighting recent research directions and open challenges. Filling a gap in the literature, this book serves as a valuable resource for academics and professionals seeking to apply MADM in dynamic, interdisciplinary contexts.
This book offers a comprehensive, mathematically grounded introduction to multi-attribute decision-making (MADM) for undergraduate, graduate, and doctoral students, as well as researchers in engineering, management, economics, and biology. It bridges theory and practice, covering fundamental concepts, advanced methods, and MATLAB implementations. Topics include critical, subjective, objective, and comprehensive weighting methods, ranking techniques, and their integration for solving complex decision problems. The book addresses challenges such as ranking abnormalities, complexity, and applicability in emerging applications. It also explores fuzzy MADM for handling uncertainty and non-sharp boundaries, highlighting recent research directions and open challenges. Filling a gap in the literature, this book serves as a valuable resource for academics and professionals seeking to apply MADM in dynamic, interdisciplinary contexts.
Provides an overview of MADM and fuzzy MADM ranking methods for identifying alternatives in complex decision problems Emphasizes on practical applications, user-friendly approach, numerical examples, and MATLAB simulations Helps readers come across various weight allocation methods -subjective, objective, and recent comprehensive approaches
Autor*in
Ashok Kumar Yadav
Themen in »Multi-Attribute Decision-Making: Bridging Theory and Practice«
Multi-Attribute Decision-Making Alternative Ranking Decision Criteria Weighting Methods Ranking Techniques Decision Matrix Objective Weights Subjective Weights Comprehensive Weights Utility Function Group Decision Making Decision Fusion Decision Consistency