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New State of MCDM in the 21st Century : Selected Papers of the 20th International Conference on Multiple Criteria Decision Making 2009 / edited by Yong Shi, Shouyang Wang, Gang Kou, Jyrki Wallenius
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Lecture notes in economics and mathematical systems ; 648Publisher: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011Description: Online-Ressource (XI, 213p. 62 illus, digital)ISBN:- 9783642196959
- 658.40301
- 519.5/42 658.408
- HD30.23
Contents:
Summary: MCDM Foundation and Theory -- MCDM Methodology -- MCDM ApplicationsSummary: This book provides cutting-edge research results and application experiences from researchers and practitioners in multiple criteria decision making areas. It consists of three parts: MCDM Foundation and Theory, MCDM Methodology, and MCDM Applications. In Part I, it covers the historical MCDM development, the influence of MCDM on technology, society and policy, Pareto optimization, and analytical hierarchy process. In Part II, the book presents different MCDM algorithms based on techniques of robust estimating, evolutionary multiobjective optimization, Choquet integrals, and genetic search. In Part III, this book demonstrates a variety of MCDM applications, including project management, financial investment, credit risk analysis, railway transportation, online advertising, transport infrastructure, environmental pollution, chemical industry, and regional economy. The 17 papers of the book have been selected out of the 121 accepted papers at the 20th International Conference on Multiple Criteria Decision Making "New State of MCDM in 21st Century", held at Chengdu, China, in 2009. The 35 contributors of these papers stem from 10 countriesPPN: PPN: 1650971230Package identifier: Produktsigel: ZDB-2-SBE
New State of MCDMin the 21st Century; Preface; Contents; Contributors; Part I MCDM Foundation and Theory; Chapter 1: MCDM: In Search of New Paradigms . . .; 1.1 MCDM: Its Roots and Early Beginnings; 1.2 Basic Definitions; 1.3 Systems Design of Optimality; 1.4 Tradeoffs-Free Management; Chapter 2: Harmonizing the Omnipresence of MCDM in Technology, Society, and Policy; 2.1 Historical Perspectives; 2.1.1 MCDM as a Philosophy That Inspired the Development of Theory, Methodology, and Practice of the Art and Science of Decision Making; 2.2 Ten Guiding Principles for the Practice of MCDM
2.2.1 First Principle: MCDM as a Harmonizing Discipline in Science, Technology, Society, and Policy Must Be Holistic2.2.2 Second Principle: A Common Denominator Bridges Risk Analysis and MCDM; 2.2.3 Third Principle: Models and State Variables Are Central to MCDM; 2.2.4 Fourth Principle: MCDM Must Account for Risk of Low Probability with Extreme Consequences; 2.2.5 Fifth Principle: MCDM Must Account for Knowledge Uncertainty and Variability Uncertainty; 2.2.6 Sixth Principle: MCDM Must Account for Emergent Forced Changes
2.2.7 Seventh Principle: Multiple Models Are Required to Represent the Multiple Perspectives of a System2.2.8 Eighth Principle: The Imperativeness of Selecting Representative Objectives and the Time Domain in MCDM; 2.2.9 Ninth Principle: The MCDM Process Must Be Holistic, Adaptive, Incremental, and Sustainable; 2.2.9.1 Why Holistic?; 2.2.9.2 Why Adaptive and Incremental?; 2.2.9.3 Why Sustainable?; 2.2.10 Tenth Principle: Phantom System Models Are Required for the Effective Practice of MCDM, While Building on and Adhering to All Nine Principles; 2.3 Epilogue; References
Chapter 3: Decision Making on Pareto Front Approximations with Inherent Nondominance3.1 Introduction; 3.2 Notation and Definitions; 3.3 Inherent Nondominance and Inherently Nondominated Approximation of the PF; 3.4 Decision Making on the Approximation; 3.5 Conclusion; References; Chpater 4: A New Consistency Index for Comparison Matrices in the ANP; 4.1 Introduction; 4.2 Analysis of the Consistency Ratio Method and the Issues of Inconsistency Test in the ANP; 4.2.1 Analysis of the Consistency Ratio Method; 4.2.2 The Issues of Inconsistency Test in the ANP
4.3 The New Consistency Index for the ANP4.3.1 The Maximum Eigenvalue Threshold as the Consistency Index for the ANP; 4.3.2 The Analysis and Comparison; 4.3.3 The Block Diagonal Matrix and Judgment Process; 4.4 Illustrative Example; 4.5 Conclusions; References; Part II MCDM Methodology; Chapter 5: Estimating the Robustness of Composite CBA and MCA Assessments by Variation of Criteria Importance Order; 5.1 Introduction; 5.2 Case Study: Public Transport System; 5.2.1 Composite Assessment; 5.2.2 Decision Conference; 5.2.3 Robustness of the Composite Assessment; 5.3 Conclusion and Perspectives
References
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