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Fuzzy multiple objective decision ma...

Huang, Jih-Jeng,

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Fuzzy multiple objective decision making /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fuzzy multiple objective decision making // Jih-Jeng Huang, Gwo-Hshiung.
作者:	Huang, Jih-Jeng,
其他作者:	Tzeng, Gwo-Hshiung,
出版者:	Boca Raton :CRC Press, : 2013.,
面頁冊數:	199 p. :ill ;24 cm.
標題:	Multiple criteria decision making. -
ISBN:	9781466554610 (hbk.) :

Fuzzy multiple objective decision making /
Huang, Jih-Jeng,

Fuzzy multiple objective decision making /Jih-Jeng Huang, Gwo-Hshiung. - Boca Raton :CRC Press,2013. - 199 p. :ill ;24 cm.

Includes bibliographical references and index.

Concepts and theory of multi-objective decision making --

"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. "--

ISBN: 9781466554610 (hbk.) :UK82.00Subjects--Topical Terms:

564005
Multiple criteria decision making.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: T57.95 / .H83 2013eb

Dewey Class. No.: 658.4/033

Fuzzy multiple objective decision making /
LDR:02504cam a2200229Ka 4500 001 1878073
003 OCoLC
005 20130909212858.0
008 130910s2013 flu ob 001 0 eng d
020 $a 9781466554610 (hbk.) : $c UK82.00
020 $a 1466554614 (hbk.)
020 $a 9781466554627 (ebk.)
020 $a 1466554622 (ebk.)
035 $a CE-BW-102-01
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050 # 4 $a T57.95 $b .H83 2013eb
082 0 4 $a 658.4/033 $2 23
100 1 $a Huang, Jih-Jeng, $e author. $3 1968625
245 1 0 $a Fuzzy multiple objective decision making / $c Jih-Jeng Huang, Gwo-Hshiung.
260 # $a Boca Raton : $b CRC Press, $c 2013.
300 $a 199 p. : $b ill ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 # $t Concepts and theory of multi-objective decision making -- $t Applications of multi-objective decision making.
520 # $a "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. "-- $c Provided by publisher.
650 # 0 $a Multiple criteria decision making. $3 564005
650 # 0 $a Fuzzy sets. $3 562997
650 # 0 $a Management science. $3 631149
650 # 7 $a Business & economics / Operations Research. $2 bisacsh $3 1968629
650 # 7 $a Mathematics / Applied. $2 bisacsh $3 1968630
650 # 7 $a Technology & engineering / Engineering (General). $2 bisacsh $3 1968631
650 # 7 $a Business & economics / Statistics $2 bisacsh $3 1622594
655 # 4 $a Electronic books. $2 lcsh $3 542853
700 1 # $a Tzeng, Gwo-Hshiung, $e author. $3 1968626