000			03186cam a2200373Ii 4500
001			CAH0KE20213PDF
003			FlBoTFG
005			20171224123220.0
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008			130819s2014 fluad ob 001 0 eng d
020			_a9781466554627 (ebook : PDF)
040			_aFlBoTFG _beng _cFlBoTFG _erda
090			_aT57.95 _b.H83 2014
092			_a658.4033 _bT998
100	1		_aTzeng, Gwo-Hshiung, _eauthor.
245	1	0	_aFuzzy multiple objective decision making / _cGwo-Hshiung Tzeng, Jih-Jeng Huang.
264		1	_aBoca Raton : _bCRC Press, _c2014.
300			_a1 online resource : _btext file, PDF
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references (pages 229-263) and index.
505	0		_asection 1. Concepts and theory of multi-objective decision making -- section 2. 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. "-- _cProvided by publisher.
530			_aAlso available in print format.
650		0	_aMultiple criteria decision making.
650		0	_aFuzzy sets.
650		0	_aManagement science.
655		7	_aElectronic books. _2lcsh
700	1		_aHuang, Jih-Jeng, _eauthor.
776	0	8	_iPrint version: _z9781466554610 (hardback)
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781466554627 _qapplication/PDF _zDistributed by publisher. Purchase or institutional license may be required for access.
999			_c14470 _d14470