LEADER 00869cam0 22002773 450 001 SOB017758 005 20200918084356.0 010 $a8483101610 100 $a20040211d2001 |||||ita|0103 ba 101 $aspa 102 $aSP 200 1 $aSoldados de Salamina$fJavier Cercas 210 $aBarcelona$cTusquets Ed.$d2001 215 $a210 p.$d21 cm 225 2 $aColección andanzas$v433 410 1$1001LAEC00018260$12001 $a*Colección andanzas$v433 700 1$aCercas$b, Javier$3AF00011540$4070$0317660 801 0$aIT$bUNISOB$c20200918$gRICA 850 $aUNISOB 852 $aUNISOB$j860$m112207 912 $aSOB017758 940 $aM 102 Monografia moderna SBN 941 $aM 957 $a860$b000383$gSI$d112207$rACQUISTO$1pregresso1$2UNISOB$3UNISOB$420120309100045.0$520200918084340.0$6bethb 996 $aSoldados de Salamina$9929415 997 $aUNISOB LEADER 03571nam 22006975 450 001 9910483292903321 005 20250626163903.0 010 $a3-030-22574-7 024 7 $a10.1007/978-3-030-22574-2 035 $a(CKB)4100000008424409 035 $a(MiAaPQ)EBC5789661 035 $a(DE-He213)978-3-030-22574-2 035 $a(PPN)243770480 035 $a(EXLCZ)994100000008424409 100 $a20190614d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFuzzy Collaborative Forecasting and Clustering $eMethodology, System Architecture, and Applications /$fby Tin-Chih Toly Chen, Katsuhiro Honda 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (99 pages) $cillustrations 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318 311 08$a3-030-22573-9 327 $aFuzzy Collaborative Intelligence and Systems -- Linear Fuzzy Collaborative Forecasting Methods -- Nonlinear Fuzzy Collaborative Forecasting Methods -- Fuzzy Co-clustering -- Collaborative Framework for Fuzzy Co-clustering -- Three-mode Fuzzy Co-clustering -- Collaborative Framework for Three-mode Fuzzy Co-clustering. 330 $aThis book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications. It demonstrates how dealing with disparate data sources is becoming more and more popular due to the increasing spread of internet applications. The book proposes the concepts of collaborative computing intelligence and collaborative fuzzy modeling, and establishes several so-called fuzzy collaborative systems. It shows how technical constraints, security issues, and privacy considerations often limit access to some sources. This book is a valuable source of information for postgraduates, researchers and fuzzy control system developers, as it presents a very effective fuzzy approach that can deal with disparate data sources, big data, and multiple expert decision making. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318 606 $aComputational intelligence 606 $aData mining 606 $aArtificial intelligence 606 $aSystem theory 606 $aOperations research 606 $aComputer simulation 606 $aComputational Intelligence 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aComplex Systems 606 $aOperations Research and Decision Theory 606 $aComputer Modelling 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aSystem theory. 615 0$aOperations research. 615 0$aComputer simulation. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aComplex Systems. 615 24$aOperations Research and Decision Theory. 615 24$aComputer Modelling. 676 $a001.53 676 $a511.3223 700 $aChen$b Tin-Chih Toly$4aut$4http://id.loc.gov/vocabulary/relators/aut$0848082 702 $aHonda$b Katsuhiro$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910483292903321 996 $aFuzzy Collaborative Forecasting and Clustering$92052311 997 $aUNINA