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020 _a9783319671376
_9978-3-319-67137-6
024 7 _a10.1007/978-3-319-67137-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aFuzzy Logic in Intelligent System Design
_h[electronic resource] :
_bTheory and Applications /
_cedited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk, Marek Reformat, William Melek.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXI, 422 p. 140 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v648
520 _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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aMelin, Patricia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_949374
700 1 _aCastillo, Oscar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_949375
700 1 _aKacprzyk, Janusz.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_949376
700 1 _aReformat, Marek.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_949377
700 1 _aMelek, William.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_949378
710 2 _aSpringerLink (Online service)
_949379
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319671369
776 0 8 _iPrinted edition:
_z9783319671383
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v648
_949380
856 4 0 _uhttps://doi.org/10.1007/978-3-319-67137-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78398
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