LEADER 03904nam 22005655 450 001 9910299894803321 005 20230725080753.0 010 $a3-319-67137-5 024 7 $a10.1007/978-3-319-67137-6 035 $a(CKB)4100000000586812 035 $a(DE-He213)978-3-319-67137-6 035 $a(MiAaPQ)EBC5064661 035 $a(PPN)204531497 035 $a(EXLCZ)994100000000586812 100 $a20170930d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFuzzy Logic in Intelligent System Design $eTheory and Applications /$fedited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk, Marek Reformat, William Melek 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XI, 422 p. 140 illus.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v648 311 $a3-319-67136-7 320 $aIncludes bibliographical references at the end of each chapters and index. 330 $aThis book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v648 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a511.3 702 $aMelin$b Patricia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCastillo$b Oscar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKacprzyk$b Janusz$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aReformat$b Marek$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMelek$b William$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299894803321 996 $aFuzzy Logic in Intelligent System Design$92511904 997 $aUNINA