Fuzzy multiple objective decision making:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton
CRC Press
2013
|
| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext |
| Beschreibung: | "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. "-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xiv, 299 p.) |
| ISBN: | 1466554614 1466554622 9781466554610 9781466554627 |
Internformat
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| 245 | 1 | 0 | |a Fuzzy multiple objective decision making |c Gwo-Hshiung Tzeng ; Jih-Jeng Huang |
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| 500 | |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. "-- | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 7 | |a BUSINESS & ECONOMICS / Operations Research |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS / Applied |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Engineering (General) |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Statistics |2 bisacsh | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Multiple criteria decision making | |
| 650 | 4 | |a Fuzzy sets | |
| 650 | 4 | |a Management science | |
| 700 | 1 | |a Huang, Jih-Jeng |e Sonstige |4 oth | |
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Datensatz im Suchindex
| _version_ | 1804151758895710208 |
|---|---|
| any_adam_object | |
| author | Tzeng, Gwo-hshiung 1943- |
| author_GND | (DE-588)170863948 |
| author_facet | Tzeng, Gwo-hshiung 1943- |
| author_role | aut |
| author_sort | Tzeng, Gwo-hshiung 1943- |
| author_variant | g h t ght |
| building | Verbundindex |
| bvnumber | BV041572928 |
| collection | ZDB-4-NLEBK |
| ctrlnum | (OCoLC)853454284 (DE-599)BVBBV041572928 |
| dewey-full | 658.4/033 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/033 |
| dewey-search | 658.4/033 |
| dewey-sort | 3658.4 233 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV041572928 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:59:55Z |
| institution | BVB |
| isbn | 1466554614 1466554622 9781466554610 9781466554627 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027018300 |
| oclc_num | 853454284 |
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| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xiv, 299 p.) |
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| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Tzeng, Gwo-hshiung 1943- Verfasser (DE-588)170863948 aut Fuzzy multiple objective decision making Gwo-Hshiung Tzeng ; Jih-Jeng Huang Boca Raton CRC Press 2013 1 Online-Ressource (xiv, 299 p.) txt rdacontent c rdamedia cr rdacarrier "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. "-- Includes bibliographical references and index BUSINESS & ECONOMICS / Operations Research bisacsh MATHEMATICS / Applied bisacsh TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh BUSINESS & ECONOMICS / Statistics bisacsh Statistik Wirtschaft Multiple criteria decision making Fuzzy sets Management science Huang, Jih-Jeng Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=611885 Aggregator Volltext |
| spellingShingle | Tzeng, Gwo-hshiung 1943- Fuzzy multiple objective decision making BUSINESS & ECONOMICS / Operations Research bisacsh MATHEMATICS / Applied bisacsh TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh BUSINESS & ECONOMICS / Statistics bisacsh Statistik Wirtschaft Multiple criteria decision making Fuzzy sets Management science |
| title | Fuzzy multiple objective decision making |
| title_auth | Fuzzy multiple objective decision making |
| title_exact_search | Fuzzy multiple objective decision making |
| title_full | Fuzzy multiple objective decision making Gwo-Hshiung Tzeng ; Jih-Jeng Huang |
| title_fullStr | Fuzzy multiple objective decision making Gwo-Hshiung Tzeng ; Jih-Jeng Huang |
| title_full_unstemmed | Fuzzy multiple objective decision making Gwo-Hshiung Tzeng ; Jih-Jeng Huang |
| title_short | Fuzzy multiple objective decision making |
| title_sort | fuzzy multiple objective decision making |
| topic | BUSINESS & ECONOMICS / Operations Research bisacsh MATHEMATICS / Applied bisacsh TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh BUSINESS & ECONOMICS / Statistics bisacsh Statistik Wirtschaft Multiple criteria decision making Fuzzy sets Management science |
| topic_facet | BUSINESS & ECONOMICS / Operations Research MATHEMATICS / Applied TECHNOLOGY & ENGINEERING / Engineering (General) BUSINESS & ECONOMICS / Statistics Statistik Wirtschaft Multiple criteria decision making Fuzzy sets Management science |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=611885 |
| work_keys_str_mv | AT tzenggwohshiung fuzzymultipleobjectivedecisionmaking AT huangjihjeng fuzzymultipleobjectivedecisionmaking |