Trends in Multiple Criteria Decision Analysis [recurso electrónico] / edited by Matthias Ehrgott, José Rui Figueira, Salvatore Greco.

Por: Ehrgott, Matthias [editor.]Colaborador(es): Figueira, José Rui [editor.] | Greco, Salvatore [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries International Series in Operations Research & Management Science ; 142Editor: Boston, MA : Springer US, 2010Descripción: XVI, 412 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781441959041Tema(s): Economics | Operations research | Economics, Mathematical | Economics/Management Science | Operations Research/Decision Theory | Game Theory/Mathematical Methods | Operations Research, Mathematical ProgrammingFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.40301 Clasificación LoC:HD30.23Recursos en línea: Libro electrónicoTexto
Contenidos:
Dynamic MCDM, Habitual Domains and Competence Set Analysis for Effective Decision Making in Changeable Spaces -- The Need for and Possible Methods of Objective Ranking -- Preference Function Modelling: The Mathematical Foundations of Decision Theory -- Robustness in Multi-criteria Decision Aiding -- Preference Modelling, a Matter of Degree -- Fuzzy Sets and Fuzzy Logic-Based Methods in Multicriteria Decision Analysis -- Argumentation Theory and Decision Aiding -- Problem Structuring and Multiple Criteria Decision Analysis -- Robust Ordinal Regression -- Stochastic Multicriteria Acceptability Analysis (SMAA) -- Multiple Criteria Approaches to Group Decision and Negotiation -- Recent Developments in Evolutionary Multi-Objective Optimization -- Multiple Criteria Decision Analysis and Geographic Information Systems.
En: Springer eBooksResumen: Multiple Criteria Decision Analysis (MCDA) 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, MCDA is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books about MCDA (all in the ISOR series), and it brings all the latest advancements into focus. Looking at developments in the applications, methodologies and foundations of MCDA, 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 MCDA in Changeable Spaces, Stochastic Multicriteria Acceptability Analysis, Robust Ordinal Regression, and many more challenging issues.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos HD30.23 (Browse shelf(Abre debajo)) 1 No para préstamo 371527-2001

Dynamic MCDM, Habitual Domains and Competence Set Analysis for Effective Decision Making in Changeable Spaces -- The Need for and Possible Methods of Objective Ranking -- Preference Function Modelling: The Mathematical Foundations of Decision Theory -- Robustness in Multi-criteria Decision Aiding -- Preference Modelling, a Matter of Degree -- Fuzzy Sets and Fuzzy Logic-Based Methods in Multicriteria Decision Analysis -- Argumentation Theory and Decision Aiding -- Problem Structuring and Multiple Criteria Decision Analysis -- Robust Ordinal Regression -- Stochastic Multicriteria Acceptability Analysis (SMAA) -- Multiple Criteria Approaches to Group Decision and Negotiation -- Recent Developments in Evolutionary Multi-Objective Optimization -- Multiple Criteria Decision Analysis and Geographic Information Systems.

Multiple Criteria Decision Analysis (MCDA) 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, MCDA is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books about MCDA (all in the ISOR series), and it brings all the latest advancements into focus. Looking at developments in the applications, methodologies and foundations of MCDA, 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 MCDA in Changeable Spaces, Stochastic Multicriteria Acceptability Analysis, Robust Ordinal Regression, and many more challenging issues.

19

Con tecnología Koha