Fuzzy-Like Multiple Objective Decision Making [electronic resource] / by Jiuping Xu, Xiaoyang Zhou.
Por: Xu, Jiuping [author.]
Colaborador(es): Zhou, Xiaoyang | [author.] | SpringerLink (Online service)Tipo de material: 
TextoSeries Studies in Fuzziness and Soft Computing; -263Descripción: XXII, 442p. 79 illus. online resourceISBN: 9783642168956 99783642168956Tema(s): Engineering | Artificial intelligence | Engineering | Artificial Intelligence (incl. Robotics) | COMPUTATIONAL INTELIGENCEClasificación CDD: 006.3 Recursos en línea: ir a documento
Contenidos:
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.
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.
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Biblioteca Jorge Álvarez Lleras | Digital | 006.3 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000395 |
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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.
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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