LEADER 03150nam 2200685 a 450 001 9910456219503321 005 20200520144314.0 010 $a1-283-14352-6 010 $a9786613143525 010 $a981-281-468-X 035 $a(CKB)2490000000001940 035 $a(EBL)731074 035 $a(OCoLC)738438068 035 $a(SSID)ssj0000524508 035 $a(PQKBManifestationID)12210352 035 $a(PQKBTitleCode)TC0000524508 035 $a(PQKBWorkID)10562227 035 $a(PQKB)11359020 035 $a(MiAaPQ)EBC731074 035 $a(WSP)00006861 035 $a(Au-PeEL)EBL731074 035 $a(CaPaEBR)ebr10480244 035 $a(CaONFJC)MIL314352 035 $a(EXLCZ)992490000000001940 100 $a20110224d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNonlinear integrals and their applications in data mining$b[electronic resource] /$fZhenyuan Wang, Rong Yang, Kwong-Sak Leung 210 $aSingapore ;$aHackensack, N.J. $cWorld Scientific$dc2010 215 $a1 online resource (360 p.) 225 1 $aAdvances in fuzzy systems : applications and theory ;$vv. 17 [i.e. 24] 300 $aDescription based upon print version of record. 311 $a981-281-467-1 320 $aIncludes bibliographical references and index. 327 $aPreface; Contents; List of Tables; List of Figures; Chapter 1: Introduction; Chapter 2: Basic Knowledge on Classical Sets; Chapter 3: Fuzzy Sets; Chapter 4: Set Functions; Chapter 5: Integrations; Chapter 6: Information Fusion; Chapter 7: Optimization and Soft Computing; Chapter 8: Identification of Set Functions; Chapter 9: Multiregression Based on Nonlinear Integrals; Chapter 10: Classifications Based on Nonlinear Integrals; Chapter 11: Data Mining with Fuzzy Data; Bibliography; Index 330 $aRegarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be 410 0$aAdvances in fuzzy systems ;$vv. 24. 606 $aFuzzy sets 606 $aIntegrals 606 $aFuzzy logic 606 $aData mining 608 $aElectronic books. 615 0$aFuzzy sets. 615 0$aIntegrals. 615 0$aFuzzy logic. 615 0$aData mining. 676 $a511.313 700 $aWang$b Zhenyuan$027994 701 $aYang$b Rong$0970760 701 $aLeung$b Kwong Sak$f1955-$0970761 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456219503321 996 $aNonlinear integrals and their applications in data mining$92206482 997 $aUNINA LEADER 01405nam 2200337Ia 450 001 996389194803316 005 20221108043940.0 035 $a(CKB)1000000000641991 035 $a(EEBO)2248548856 035 $a(OCoLC)18197861 035 $a(EXLCZ)991000000000641991 100 $a19880711d1643 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe five yeares of King Iames, or, The condition of the state of England, and the relation it had to other provinces$b[electronic resource] /$fwritten by Sr Foulk Grevill, late Lord Brook 210 $aLondon $cPrinted for R.W.$d1643 215 $a[2], 84 p 300 $aErroneously ascribed to Lord Brook - cf. DNB, v. 23, p. 162. Attributed to Arthur Wilson by Wing and Clark Memorial Lib. Dict. Cat. 300 $aPage 43 misnumbered as 34. 300 $aImperfect: print show-through. 300 $aReproduction of original in the Union Theological Seminary Library, New York. 330 $aeebo-0160 607 $aGreat Britain$xHistory$yJames I, 1603-1625 700 $aWilson$b Arthur$f1595-1652.$01004782 701 $aGreville$b Fulke$cBaron Brooke,$f1554-1628.$0694872 801 1$bEAI 801 2$bWaOLN 906 $aBOOK 912 $a996389194803316 996 $aThe five yeares of King Iames, or, The condition of the state of England, and the relation it had to other provinces$92370569 997 $aUNISA