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000726838 020__ $$a9783319168296$$qelectronic book
000726838 020__ $$a3319168290$$qelectronic book
000726838 020__ $$z9783319168289
000726838 0247_ $$a10.1007/978-3-319-16829-6$$2doi
000726838 035__ $$aSP(OCoLC)ocn908145806
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000726838 049__ $$aISEA
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000726838 08204 $$a519.5/42$$223
000726838 24500 $$aGranular computing and decision-making$$h[electronic resource] :$$binteractive and iterative approaches /$$cWitold Pedrycz, Shyi-Ming Chen, editors.
000726838 264_1 $$aCham :$$bSpringer,$$c2015.
000726838 300__ $$a1 online resource (viii, 368 pages) :$$billustrations.
000726838 336__ $$atext$$btxt$$2rdacontent
000726838 337__ $$acomputer$$bc$$2rdamedia
000726838 338__ $$aonline resource$$bcr$$2rdacarrier
000726838 4901_ $$aStudies in big data,$$x2197-6503 ;$$vvolume 10
000726838 500__ $$aIncludes indexes.
000726838 504__ $$aIncludes bibliographical references and indexes.
000726838 5050_ $$aGranularity Helps Explain Seemingly Irrational Features of Human Decision Making -- A Comprehensive Granular Model for Decision Making with Complex Data.-Granularity in Economic Decision Making: An Interdisciplinary Review -- Decision Makers{u2019} Opinions Changing Attitude-Driven Consensus Model under Linguistic Environment and Its Application in Dynamic MAGDM -- Using Computing with Words for Managing Non-Cooperative Behaviors in Large Scale Group Decision Making -- A Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making -- Multi-Criteria Influence Diagrams {u2013} A Tool for the Sequential Group Risk Assessment.-Consensus Modeling under Fuzziness {u2013} A Dynamic Approach with Random Iterative Steps -- Decision Making {u2013} Interactive and Interactive Approaches -- Collaborative Decision Making by Ensemble Rule Based Classification Systems -- A GDM Method Based on Granular Computing for Academic Library Management -- Spatial-taxon Information Granules as Used in Iterative Fuzzy-Decision-Making for Image Segmentation -- Group Decision Making in Fuzzy Environment {u2013} An Iterative Procedure Based on Group Dynamics -- Fuzzy Optimization in Decision Making of Air Quality Management -- Group Decision Making in Fuzzy Environment {u2013} An Iterative Procedure Based on Group Dynamics -- Fuzzy Optimization in Decision Making of Air Quality Management.
000726838 506__ $$aAccess limited to authorized users.
000726838 520__ $$aThis volume is devoted to interactive and iterative processes of decision-making? I2 Fuzzy Decision Making, in brief. Decision-making is inherently interactive. Fuzzy sets help realize human-machine communication in an efficient way by facilitating a two-way interaction in a friendly and transparent manner. Human-centric interaction is of paramount relevance as a leading guiding design principle of decision support systems. The volume provides the reader with an updated and in-depth material on the conceptually appealing and practically sound methodology and practice of I2 Fuzzy Decision Making. The book engages a wealth of methods of fuzzy sets and Granular Computing, brings new concepts, architectures and practice of fuzzy decision-making providing the reader with various application studies. The book is aimed at a broad audience of researchers and practitioners in numerous disciplines in which decision-making processes play a pivotal role and serve as a vehicle to produce solutions to existing problems. Those involved in operations research, management, various branches of engineering, social sciences, logistics, and economics will benefit from the exposure to the subject matter. The book may serve as a useful and timely reference material for graduate students and senior undergraduate students in courses on decision-making, Computational Intelligence, operations research, pattern recognition, risk management, and knowledge-based systems.
000726838 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 4, 2015).
000726838 650_0 $$aFuzzy decision making.
000726838 650_0 $$aGranular computing.
000726838 7001_ $$aPedrycz, Witold,$$d1953-$$eeditor.
000726838 7001_ $$aChen, Shyi-Ming,$$eeditor.
000726838 77608 $$iPrint version:$$z9783319168289
000726838 830_0 $$aStudies in big data ;$$vvolume 10.
000726838 852__ $$bebk
000726838 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-16829-6$$zOnline Access$$91397441.1
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