Fuzzy-Like Multiple Objective Decision Making / by Jiuping Xu, Xiaoyang Zhou.

Por:

Xu, Jiuping [autor]

Colaborador(es):

Tipo de material: Texto

TextoSeries Studies in Fuzziness and Soft Computing ; 263Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: xxii, 442 páginas 79 ilustraciones recurso en líneaTipo de contenido:

texto

Tipo de medio:

computadora

Tipo de portador:

recurso en línea

ISBN:

9783642168956

Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:

Q342

Recursos en línea:

Conectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)

Contenidos:

Part 1 Fuzzy Set Theory -- Part 2 Fuzzy Multiple Objective Decision Making -- Part 3 Fuzzy Random Multiple Objective Decision Making -- Part 4 Bifuzzy Multiple Objective Decision Making -- Part 5 Fuzzy Rough Multiple Objective Decision Making.

Resumen: Decision makers usually face multiple, conflicting objectives and the complicated fuzzy-like environments in the real world. What are the fuzzy-like environments? How do we model the multiple objective decision making problems under fuzzy-like environments? How do you deal with these models? In order to answer these questions, this book provides an up-to-date methodology system for fuzzy-like multiple objective decision making, which includes modelling system, model analysis system, algorithm system and application system in structure optimization problem, selection problem, purchasing problem, inventory problem, logistics problem and so on. Researchers, practitioners and students in management science, operations research, information science, system science and engineering science will find this work a useful reference.

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Springer eBooks

Decision makers usually face multiple, conflicting objectives and the complicated fuzzy-like environments in the real world. What are the fuzzy-like environments? How do we model the multiple objective decision making problems under fuzzy-like environments? How do you deal with these models? In order to answer these questions, this book provides an up-to-date methodology system for fuzzy-like multiple objective decision making, which includes modelling system, model analysis system, algorithm system and application system in structure optimization problem, selection problem, purchasing problem, inventory problem, logistics problem and so on. Researchers, practitioners and students in management science, operations research, information science, system science and engineering science will find this work a useful reference.

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