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資料種別 図書

Fuzzy multiple objective decision making

Gwo-Hshiung Tzeng, Jih-Jeng Huang

詳細情報

タイトル Fuzzy multiple objective decision making
著者 Gwo-Hshiung Tzeng, Jih-Jeng Huang
出版地(国名コード) US
出版地Boca Raton
出版社CRC Press, Taylor & Francis Group
出版年月日等 [2014]
大きさ、容量等 xiv, 308 pages : illustrations ; 24 cm
注記 ISBN : 9781466554610 (hardback : acid-free paper)
注記 表現種別 : text
注記 Includes bibliographical references and index
ISBN 9781466554610
LC番号 2013014250
出版年(W3CDTF) 2014
件名(キーワード) Multiple criteria decision making
件名(キーワード) Fuzzy sets
件名(キーワード) Management science
件名(キーワード) BUSINESS & ECONOMICS / Operations Research
件名(キーワード) MATHEMATICS / Applied
件名(キーワード) TECHNOLOGY & ENGINEERING / Engineering (General)
NDLC DH213
LCC T57.95
DDC 658.4/033
要約・抄録 "Preface Operations research has been adapted by management science scholoars to manage realistic problems for a long time. Among these methods, mathematical programming models play a key role in optimizing a system. However, traditional mathematical programming focuses on single-objective optimization rather than multi-objective optimization as we encounter in real situation. Hence, the concept of multi-objective programming was proposed by Kuhn, Tucker and Koopmans in 1951 and since then became the main-stream of mathematical programming. Multi-objective programming (MOP) can be considered as the natural extension of single-objective programming by simultaneously optimizing multi-objectives in mathematical programming models. However, the optimization of multi-objectives triggers the issue of the Pareto solutions and complicates the derived answer. In addition, more scholars incorporate the concepts of fuzzy sets and evolutionary algorithms to multi-objective programming models and enrich the field of multi-objective decision making (MODM). The content of this book is divided into two parts: methodologies and applications. In the first part, we introduced most popular methods which are used to calculate the solution of MOP in the field of MODM. Furthermore, we included three new topics of MODM: multi-objective evolutionary algorithms (MOEA), expanding De Novo programming to changeable spaces, including decision space and objective space, and network data envelopment analysis (NDEA) in this book. In the application part, we proposed different kind of practical applications in MODM. These applications can provide readers the insights for better understanding the MODM with depth. "--
対象利用者 一般
資料の種別 図書
言語(ISO639-2形式) eng : English

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