LEADER 02904nam 22005055 450 001 9910483842903321 005 20200701040520.0 010 $a3-030-19494-9 024 7 $a10.1007/978-3-030-19494-9 035 $a(CKB)4100000008217442 035 $a(MiAaPQ)EBC5776210 035 $a(DE-He213)978-3-030-19494-9 035 $a(PPN)243766203 035 $a(EXLCZ)994100000008217442 100 $a20190516d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Trends in Aggregation Theory /$fedited by Radomír Hala?, Marek Gagolewski, Radko Mesiar 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (354 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v981 311 $a3-030-19493-0 330 $aThis book collects the contributions presented at AGOP 2019, the 10th International Summer School on Aggregation Operators, which took place in Olomouc (Czech Republic) in July 2019. It includes contributions on topics ranging from the theory and foundations of aggregation functions to their various applications. Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user?s needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v981 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a515.724 676 $a515.724 702 $aHala?$b Radomír$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGagolewski$b Marek$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMesiar$b Radko$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483842903321 996 $aNew Trends in Aggregation Theory$92846731 997 $aUNINA