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200 10$aScientific Methods for the Treatment of Uncertainty in Social Sciences /$fedited by Jaime Gil-Aluja, Antonio Terceño-Gómez, Joan Carles Ferrer-Comalat, José M. Merigó-Lindahl, Salvador Linares-Mustarós
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (430 p.)
225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v377
300   $aDescription based upon print version of record.
311   $a3-319-19703-7 
320   $aIncludes bibliographical references and index at the end of each chapters.
327   $aDecision Making -- Expert Systems and Forgotten Effects Theory -- Forecasting Models -- Fuzzy Logic and Fuzzy Sets -- Modelling and Simulation Techniques -- Neural Networks and Genetic Algorithms -- Optimization and Control.
330   $aThis book is a collection of selected papers presented at the SIGEF conference, held at the Faculty of Economics and Business of the University of Girona (Spain), 06-08 July, 2015. This edition of the conference has been presented with the slogan ?Scientific methods for the treatment of uncertainty in social sciences?. There are different ways for dealing with uncertainty in management. The book focuses on soft computing theories and their role in assessing uncertainty in a complex world. It gives a comprehensive overview of quantitative management topics and discusses some of the most recent developments in all the areas of business and management in soft computing including Decision Making, Expert Systems and Forgotten Effects Theory, Forecasting Models, Fuzzy Logic and Fuzzy Sets, Modelling and Simulation Techniques, Neural Networks and Genetic Algorithms and Optimization and Control. The book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.  .
410  0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v377
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aSocial sciences
606   $aScience?Social aspects
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000
606   $aSocietal Aspects of Physics, Outreach and Education$3https://scigraph.springernature.com/ontologies/product-market-codes/P34000
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aSocial sciences.
615  0$aScience?Social aspects.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aMethodology of the Social Sciences.
615 24$aSocietal Aspects of Physics, Outreach and Education.
676   $a003.54
702   $aGil-Aluja$b Jaime$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aTerceño-Gómez$b Antonio$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aFerrer-Comalat$b Joan Carles$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMerigó-Lindahl$b José M$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLinares-Mustarós$b Salvador$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299819003321
996   $aScientific Methods for the Treatment of Uncertainty in Social Sciences$91465878
997   $aUNINA