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Multiple criteria decision analysis : state of the art surveys / editores Salvatore Greco, José Rui Figueira, Matthias Ehrgott

Por: Colaborador(es): Tipo de material: TextoTextoEditor: Boston, : Springer US, 2016Edición: Segunda ediciónDescripción: v.1, v.2, 1351 páginas : ilustraciones 24 cmTipo de contenido:
  • texto
Tipo de medio:
  • no mediado
Tipo de soporte:
  • volumen
ISBN:
  • 9781493930937
  • 08848289
Tema(s): Clasificación CDD:
  • 658.403 G791m 2016
Contenidos:
v.1 : The history and current state of MCDA - Foundation of MCDA - Outranking methods - Multiattribute utility and value theories - Non classical MCDA approaches - v.2 : Multiobjective optimization – Applications – MCDM Software.
Resumen: 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.
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Existencias
Tipo de ítem Biblioteca actual Signatura Info Vol Copia número Estado Fecha de vencimiento Código de barras
Libro Libro Miguel de Cervantes Sala general 658.403 G791m 2016 (Navegar estantería(Abre debajo)) v.1 Ej.1 Disponible 00015794
Libro Libro Miguel de Cervantes Sala general 658.403 G791m 2016 (Navegar estantería(Abre debajo)) v.2 Ej.1 Disponible 00015835

v.1 : The history and current state of MCDA - Foundation of MCDA - Outranking methods - Multiattribute utility and value theories - Non classical MCDA approaches - v.2 : Multiobjective optimization – Applications – MCDM Software.

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.

Maestría en Sistemas de Información mención en Data Science

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