Trends in Multiple Criteria Decision Analysis

Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. Additionally, there has been very rapid growth in recent years in evolutionary Multiobjective optimization, stochastic analysis, robustness, and regression-based methods, and thus, the need for a look at the newest trends in the field. This volume is in effect the third book in the Springer ISOR series by these editors, bringing the latest developments in MCDM into focus. It presents research from leaders in the field on such topics as Problem Structuring Methodologies, Measurement Theory and MCDA, Recent Developments in Evolutionary Multiobjective Optimization, Habitual Domains and Dynamic MCDM in Changeable Spaces, Stochastic Multicriteria Acceptability Analysis, and more.