001400045 000__ 03466nam\a2200493\a\4500 001400045 001__ 1400045 001400045 003__ MiAaPQ 001400045 005__ 20220701003148.0 001400045 006__ m\\\\\o\\d\\\\\\\\ 001400045 007__ cr\cn\nnnunnun 001400045 008__ 130529s2014\\\\fluad\\\ob\\\\000\0\eng\d 001400045 010__ $$z 2013014250 001400045 020__ $$z9781466554610 (hardback) 001400045 020__ $$z9781466554627 (e-book) 001400045 035__ $$a(MiAaPQ)EBC1335825 001400045 035__ $$a(Au-PeEL)EBL1335825 001400045 035__ $$a(CaPaEBR)ebr10735250 001400045 035__ $$a(CaONFJC)MIL518844 001400045 035__ $$a(OCoLC)853454284 001400045 040__ $$aMiAaPQ$$cMiAaPQ$$dMiAaPQ 001400045 050_4 $$aT57.95$$b.T94 2014 001400045 08204 $$a658.4/033$$223 001400045 1001_ $$aTzeng, Gwo-Hshiung. 001400045 24510 $$aFuzzy multiple objective decision making /$$cGwo-Hshiung Tzeng, Jih-Jeng Huang. 001400045 260__ $$aBoca Raton :$$bCRC Press,$$c2014. 001400045 300__ $$a1 online resource (xiv, 299 pages ) :$$billustrations 001400045 336__ $$atext$$2rdacontent 001400045 337__ $$acomputer$$2rdamedia 001400045 338__ $$aonline resource$$2rdacarrier 001400045 500__ $$a"A Chapman & Hall book." 001400045 504__ $$aIncludes bibliographical references. 001400045 5050_ $$asection I. Concepts and theory of multi-objective decision making -- section II. Applications of multi-objective decision making. 001400045 506__ $$aAccess limited to authorized users. 001400045 520__ $$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. "--$$cProvided by publisher. 001400045 650_0 $$aMultiple criteria decision making. 001400045 650_0 $$aFuzzy sets. 001400045 650_0 $$aManagement science. 001400045 655_0 $$aElectronic books 001400045 7001_ $$aHuang, Jih-Jeng. 001400045 852__ $$bebk 001400045 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1335825$$zOnline Access 001400045 909CO $$ooai:library.usi.edu:1400045$$pGLOBAL_SET 001400045 980__ $$aBIB 001400045 980__ $$aEBOOK 001400045 982__ $$aEbook 001400045 983__ $$aOnline