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000922636 020__ $$a9783030254322$$q(electronic book)
000922636 020__ $$a3030254321$$q(electronic book)
000922636 020__ $$z9783030254315
000922636 0247_ $$a10.1007/978-3-030-25432-2$$2doi
000922636 035__ $$aSP(OCoLC)on1119668812
000922636 035__ $$aSP(OCoLC)1119668812
000922636 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKMGB$$dYDX$$dOCLCF$$dSFB
000922636 049__ $$aISEA
000922636 050_4 $$aQA76.9.S63$$bT78 2020eb
000922636 08204 $$a006.3$$223
000922636 1001_ $$aTrujillo-Cabezas, Raúl,$$eauthor.
000922636 24510 $$aIntegrating soft computing into strategic prospective methods :$$btowards an adaptive learning environment supported by futures studies /$$cRaúl Trujillo-Cabezas, José Luis Verdegay.
000922636 264_1 $$aCham :$$bSpringer,$$c[2020]
000922636 264_4 $$c©2020
000922636 300__ $$a1 online resource.
000922636 336__ $$atext$$btxt$$2rdacontent
000922636 337__ $$acomputer$$bc$$2rdamedia
000922636 338__ $$aonline resource$$bcr$$2rdacarrier
000922636 4901_ $$aStudies in fuzziness and soft computing,$$x1434-9922 ;$$vvolume 387
000922636 504__ $$aIncludes bibliographical references.
000922636 5050_ $$aIntroduction -- Strategic Prospective: Definitions and Key Concepts -- Fuzzy Optimization and Reasoning Approaches -- Constructing Models -- Modeling and Simulation of the Future -- Experimental Applications: An Overview of New Ways -- Meta-Prospective Toolbox -- A Cloud Environment: A first demo.
000922636 506__ $$aAccess limited to authorized users.
000922636 520__ $$aThis book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this.
000922636 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 16, 2019).
000922636 650_0 $$aSoft computing.
000922636 650_0 $$aDecision making.
000922636 7001_ $$aVerdegay, José-Luis,$$eauthor.
000922636 830_0 $$aStudies in fuzziness and soft computing ;$$vv. 387.
000922636 852__ $$bebk
000922636 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-25432-2$$zOnline Access$$91397441.1
000922636 909CO $$ooai:library.usi.edu:922636$$pGLOBAL_SET
000922636 980__ $$aEBOOK
000922636 980__ $$aBIB
000922636 982__ $$aEbook
000922636 983__ $$aOnline
000922636 994__ $$a92$$bISE