LEADER 03136nam 2200541 450 001 9910813724803321 005 20200520144314.0 010 $a3-11-051875-9 024 7 $a10.1515/9783110520651 035 $a(CKB)4100000001502393 035 $a(DE-B1597)473550 035 $a(OCoLC)1024050311 035 $a(DE-B1597)9783110520651 035 $a(Au-PeEL)EBL5157319 035 $a(CaPaEBR)ebr11497577 035 $a(OCoLC)1020026051 035 $a(CaSebORM)9783110518757 035 $a(MiAaPQ)EBC5157319 035 $a(EXLCZ)994100000001502393 100 $a20180206h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aDynamic fuzzy machine learning /$fLi Fanzhang, Zhang Li, Zhang Zhao 210 1$aBerlin, [Germany] ;$aBoston, [Massachusetts] :$cDe Gruyter,$d2018. 210 4$dİ2018 215 $a1 online resource (338 pages) 300 $aIncludes index. 311 $a3-11-051870-8 311 $a3-11-052065-6 327 $tFrontmatter -- $tPreface / $rFanzhang, Li -- $tContents -- $t1. Dynamic fuzzy machine learning model -- $t2. Dynamic fuzzy autonomic learning subspace algorithm -- $t3. Dynamic fuzzy decision tree learning -- $t4. Concept learning based on dynamic fuzzy sets -- $t5. Semi-supervised multi-task learning based on dynamic fuzzy sets -- $t6. Dynamic fuzzy hierarchical relationships -- $t7. Multi-agent learning model based on dynamic fuzzy logic -- $t8. Appendix -- $tIndex 330 $aMachine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning. 606 $aFuzzy logic 615 0$aFuzzy logic. 676 $a511.3 686 $aST 330$2rvk 700 $aFanzhang$b Li$01722896 702 $aLi$b Zhang 702 $aZhao$b Zhang 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910813724803321 996 $aDynamic fuzzy machine learning$94123699 997 $aUNINA