LEADER 03259nam 2200601Ia 450 001 9910437916803321 005 20200520144314.0 010 $a9783642295201 010 $a3642295207 024 7 $a10.1007/978-3-642-29520-1 035 $a(CKB)3390000000030174 035 $a(SSID)ssj0000745795 035 $a(PQKBManifestationID)11378849 035 $a(PQKBTitleCode)TC0000745795 035 $a(PQKBWorkID)10871631 035 $a(PQKB)11696374 035 $a(DE-He213)978-3-642-29520-1 035 $a(MiAaPQ)EBC3070967 035 $a(PPN)168314746 035 $a(EXLCZ)993390000000030174 100 $a20120905d2013 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvanced concepts in fuzzy logic and systems with membership uncertainty /$fJanusz T. Starczewski 205 $a1st ed. 2013. 210 $aBerlin ;$aNew York $cSpringer$dc2013 215 $a1 online resource (XII, 308 p.) 225 1 $aStudies in fuzziness and soft computing,$x1434-9922 ;$v284 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783642295195 311 08$a3642295193 320 $aIncludes bibliographical references and index. 327 $aUncertainty in Fuzzy Sets -- Algebraic Operations on Fuzzy Valued Fuzzy Sets -- Defuzzification of Uncertain Fuzzy Sets -- Generalized Uncertain Fuzzy Logic Systems -- Uncertainty Generation in Uncertain Fuzzy Logic Systems -- Designing Uncertain Fuzzy Logic Systems. 330 $aThis book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory.            In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry.  . 410 0$aStudies in fuzziness and soft computing ;$vv. 284. 606 $aFuzzy sets 606 $aUncertainty (Information theory) 606 $aFuzzy logic 615 0$aFuzzy sets. 615 0$aUncertainty (Information theory) 615 0$aFuzzy logic. 676 $a511.3/223 700 $aStarczewski$b Janusz T$01065566 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437916803321 996 $aAdvanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty$92546741 997 $aUNINA LEADER 01533nam0 22003251i 450 001 UON00263731 005 20231205103724.264 100 $a20050506d1900 |0itac50 ba 101 $aeng$aTHA 102 $aTH 105 $a||||e ||||| 200 1 $aˆAn ‰English-Siamese pronouncing hand-book$fprepared from the manuscript of the late W.H. McFarland by the late E.H. McFarland 205 $aSecond edition containing vocabulary$bfamiliar phrases$fRivised and enlarged by Geo. B. McFarland 210 $aBangkok$cAmer. Presby. Mission Press$d1900 215 $aXXII, 163 c.$d18 cm 317 $aPossessore: Gerini, Gerolamo Emilio $5IT-UONSI RARITAIII A/008 606 $aDIZIONARI$xTHAILANDESE$xINGLESE$3UONC030517$2FI 620 $aTH$dBangkok$3UONL000477 686 $aTAI II A$cTAILANDIA - LINGUISTICA - DIZIONARI$2A 700 1$aMcFARLAND$bW. H.$3UONV153618$0690081 701 1$aMcFARLAND$bE. H.$3UONV153619$0690082 702 1$aMCFARLAND$bGeorge Bradley$3UONV153608 702 1$aGerini$bGerolamo Emilio$cColonnello$3UONV030885$4390$5IT-UONSI RARITAIII A/008 712 $aAmerican Presbyterian Mission Press$3UONV247781$4650 801 $aIT$bSOL$c20250502$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00263731 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI RARI TAI II A 008 $eSI MR 35893 7 008 996 $aEnglish-Siamese pronouncing hand-book$91236932 997 $aUNIOR