000697948 000__ 03790cam\a2200481Ki\4500 000697948 001__ 697948 000697948 005__ 20230306135805.0 000697948 006__ m\\\\\o\\d\\\\\\\\ 000697948 007__ cr\cnu|||unuuu 000697948 008__ 140424s2014\\\\sz\a\\\\ob\\\\001\0\eng\d 000697948 019__ $$a877956354 000697948 020__ $$a9783319033983 $$qelectronic book 000697948 020__ $$a3319033980 $$qelectronic book 000697948 020__ $$z9783319033976 000697948 0247_ $$a10.1007/978-3-319-03398-3$$2doi 000697948 035__ $$aSP(OCoLC)ocn878057906 000697948 035__ $$aSP(OCoLC)878057906$$z(OCoLC)877956354 000697948 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dCOO 000697948 049__ $$aISEA 000697948 050_4 $$aTJ213 000697948 08204 $$a003.56$$223 000697948 1001_ $$aXu, Jiuping$$c(Professor of management science),$$eauthor. 000697948 24510 $$aFuzzy-like multiple objective multistage decision making$$h[electronic resource] /$$cJiuping Xu, Ziqiang Zeng. 000697948 264_1 $$aCham :$$bSpringer,$$c2014. 000697948 300__ $$a1 online resource (xxiv, 378 pages) :$$billustrations. 000697948 336__ $$atext$$btxt$$2rdacontent 000697948 337__ $$acomputer$$bc$$2rdamedia 000697948 338__ $$aonline resource$$bcr$$2rdacarrier 000697948 4901_ $$aStudies in Computational Intelligence,$$x1860-949X ;$$vvolume 533 000697948 504__ $$aIncludes bibliographical references and index. 000697948 5050_ $$aMultiple Objective Multistage Decision Making -- Elements of Fuzzy-Like MOMSDM -- Fuzzy MOMSDM for Dynamic Machine Allocation -- Fuzzy MOMSDM for Closed Multiclass Queuing Networks -- Fuzzy Random MOMSDM for Inventory Management -- Fuzzy Random MOMSDM for Facilities Planning -- Fuzzy Random MOMSDM for Transportation Assignment. 000697948 506__ $$aAccess limited to authorized users. 000697948 520__ $$aDecision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like uncertainty, including the dynamic machine allocation, closed multiclass queueing networks optimization, inventory management, facilities planning and transportation assignment. A number of real-world engineering case studies are used to illustrate in detail the methodology. With its emphasis on problem-solving and applications, this book is ideal for researchers, practitioners, engineers, graduate students and upper-level undergraduates in applied mathematics, management science, operations research, information system, civil engineering, building construction and transportation optimization 000697948 588__ $$aDescription based on print version record. 000697948 650_0 $$aDecision support systems. 000697948 650_0 $$aFuzzy systems. 000697948 7001_ $$aZeng, Ziqiang,$$eauthor. 000697948 77608 $$iPrint version:$$aXu, Jiuping, author.$$tFuzzy-like multiple objective multistage decision making$$z9783319033976$$w(OCoLC)874928516 000697948 830_0 $$aStudies in computational intelligence ;$$vv.533.$$x1860-949X 000697948 852__ $$bebk 000697948 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-03398-3$$zOnline Access 000697948 909CO $$ooai:library.usi.edu:697948$$pGLOBAL_SET 000697948 980__ $$aEBOOK 000697948 980__ $$aBIB 000697948 982__ $$aEbook 000697948 983__ $$aOnline 000697948 994__ $$a92$$bISE