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Fuzzy multiple objective decision making / (Record no. 419183)

000 -LEADER
fixed length control field 03830cam a2200301 i 4500
001 - CONTROL NUMBER
control field 135744
003 - CONTROL NUMBER IDENTIFIER
control field ISI Library, Kolkata
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20150428171103.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130529s2014 flua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781466554610 (hardback : acidfree paper)
040 ## - CATALOGING SOURCE
Original cataloging agency ISI Library
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.4033
Edition number 23
Item number T998
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tzeng, Gwo-Hshiung.
245 10 - TITLE STATEMENT
Title Fuzzy multiple objective decision making /
Statement of responsibility, etc Gwo-Hshiung Tzeng and Jih-Jeng Huang.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton :
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2014.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 308 p. :
Other physical details illustrations ;
Dimensions 24 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction--<br/>Section 1. Concepts and theory of multi-objective decision making --<br/>2. Multi-objective evolutionary algorithms--<br/>3. Goal programming--<br/>4.Compromise solution and TOPSIS--<br/>5. De novo programming and changeable parameters--<br/>6. Multi-stage Programming--<br/>7. Multi-level multi-objective programming--<br/>8. Data envelopment analysis--<br/><br/>section 2. Applications of multi-objective decision making--<br/>9. Motivation and resource allocation for stratgic alliances through the de nove perspective--<br/>10. Choosing best alliance partners and allocating optimal alliance resources using Fuzzy multi-objective dummy programming model--<br/>11. Multiple-objective planning for supply chain production and distribution model: Bicycle manufacturer--<br/>12. Fuzzy interdependent multi-objective programming--<br/>13. Novel algorithm for uncertain portfolio selection--<br/>14. Multi-objective optimal planning for designing relief delivery systems--<br/>15. Comparative productivity efficiency for global telecoms--<br/>16. Fuzzy multiple objective programming in interval piecewise regression model--<br/><br/>Bibliography--<br/>Notes--<br/>Index. <br/><br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc "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. "--
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Multiple criteria decision making.
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Fuzzy sets.
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Management science.
650 7# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BUSINESS & ECONOMICS / Operations Research.
650 7# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS / Applied.
650 7# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY & ENGINEERING / Engineering (General).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Huang, Jih-Jeng.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Lost status Not for loan Permanent Location Current Location Date acquired Cost, normal purchase price Full call number Accession Number Koha item type
    ISI Library, Kolkata ISI Library, Kolkata 2015-03-17 6977.05 658.4033 T998 135744 Books
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


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