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This book concentrates on the basic principles of multicriterion analysis and acquaints the reader with the recent trends in MCDM analysis. It explains the basics of Structured Decision-Making (SDM) and describes the various features of traditional optimization methods such as linear and non-linear programming, and dynamic programming, as well as non-traditional optimization methods such as genetic algorithms, differential evolution, and simulated annealing and quenching. The text elaborates the normalization methods, weight estimation methods and multiobjective optimization methods both in traditional and non-traditional environments. Classification approaches with cluster validation indices, discrete MCDM methods both in deterministic and fuzzy approach and group decision-making methods are discussed in detail. Advanced topics in decision-making such as data envelopment analysis, Taguchi methodology, ant colony optimization, and particle swarm optimization are also covered. In addition, the book includes many case studies for better comprehension of the procedures involved in the methods.
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Multicriterion Analysis In Engineering And Management
Da: Vedams eBooks (P) Ltd, New Delhi, India
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Soft cover. Condizione: New. Contents Foreword Preface 1 Introduction 2 Single Objective Optimization 3 Estimation of Weights 4 Multiobjective Optimization 5 Methods of Classification 6 Discrete Multicriterion Decision-Making 7 Fuzzy Logic-Based Discrete MCDM 8 Correlation Coefficients and Group Decision-Making 9 Advanced Topics of Decision-Making 10 Case Studies Appendix Bibliography Index Multicriterion Decision-Making MCDM can be perceived as a process of evaluating real-world situations based on various qualitativequantitative criteria in certainuncertainrisky environments in order to find a suitable course of actionchoicestrategypolicy among the several available options This book concentrates on the basic principles of multicriterion analysis and acquaints the reader with the recent trends in MCDM analysis It explains the basics of Structured Decision-Making SDM and describes the various features of traditional optimization methods such as linear and non-linear programming and dynamic programming as well as non-traditional optimization methods such as genetic algorithms differential evolution and simulated annealing and quenching The text elaborates the normalization methods weight estimation methods and multiobjective optimization methods both in traditional and non-traditional environments Classification approaches with cluster validation indices discrete MCDM methods both in deterministic and fuzzy approach and group decision-making methods are discussed in detail Advanced topics in decision-making such as data envelopment analysis Taguchi methodology ant colony optimization and particle swarm optimization are also coveredIn addition the book includes many case studies for better comprehension of the procedures involved in the methods 288 pp. Codice articolo 86144
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