LEADER 01818nam 2200529 450 001 9910743225103321 005 20231110213214.0 010 $a981-16-8738-2 010 $a981-16-8739-0 010 $a981-16-8739-0 035 $a(MiAaPQ)EBC7008976 035 $a(Au-PeEL)EBL7008976 035 $a(CKB)23231032000041 035 $aEBL7008976 035 $a(AU-PeEL)EBL7008976 035 $a(PPN)267814046 035 $a(EXLCZ)9923231032000041 100 $a20221218d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBiologically inspired techniques in many criteria decision making $eproceedings of BITMDM 2021 /$fedited by Satchidananda Dehuri [and three others] 210 1$aGateway East, Singapore :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (718 pages) 225 1 $aSmart Innovation, Systems and Technologies ;$vv.271 300 $aDescription based upon print version of record. 311 08$aPrint version: Dehuri, Satchidananda Biologically Inspired Techniques in Many Criteria Decision Making Singapore : Springer,c2022 9789811687389 320 $aIncludes bibliographical references and index. 410 0$aSmart Innovation, Systems and Technologies 606 $aBioinformatics 606 $aArtificial intelligence 606 $aData mining 615 0$aBioinformatics. 615 0$aArtificial intelligence. 615 0$aData mining. 676 $a658.403 702 $aDehuri$b Satchidananda 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743225103321 996 $aBiologically Inspired Techniques in Many-Criteria Decision Making$92084629 997 $aUNINA