Fuzzy Multiple Objective Decision Making


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Fuzzy Multiple Objective Decision Making


Fuzzy Multiple Objective Decision Making

Author: Gwo-Hshiung Tzeng

language: en

Publisher: CRC Press

Release Date: 2016-04-19


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Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these problems, researchers often incorporate the concepts of fuzzy sets and evolutionary algorithms into M

Multi-objective Group Decision Making: Methods Software And Applications With Fuzzy Set Techniques (With Cd-rom)


Multi-objective Group Decision Making: Methods Software And Applications With Fuzzy Set Techniques (With Cd-rom)

Author: Guang-quan Zhang

language: en

Publisher: World Scientific

Release Date: 2007-05-10


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This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice./a

Fuzzy Multiple Objective Decision Making


Fuzzy Multiple Objective Decision Making

Author: Young-Jou Lai

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making are first systematically and thoroughly reviewed and classified. This state-of-the-art survey provides readers with a capsule look into the existing methods, and their characteristics and applicability to analysis of fuzzy and possibilistic programming problems. To realize practical fuzzy modelling, it presents solutions for real-world problems including production/manufacturing, location, logistics, environment management, banking/finance, personnel, marketing, accounting, agriculture economics and data analysis. This book is a guided tour through the literature in the rapidly growing fields of operations research and decision making and includes the most up-to-date bibliographical listing of literature on the topic.