LEADER 04036nam  22006375  450 
001 9910254353503321
005 20200702142239.0
010   $a3-662-53324-3
024 7 $a10.1007/978-3-662-53324-6
035   $a(CKB)3710000000872796
035   $a(DE-He213)978-3-662-53324-6
035   $a(MiAaPQ)EBC6311698
035   $a(MiAaPQ)EBC5585150
035   $a(Au-PeEL)EBL5585150
035   $a(OCoLC)958930883
035   $a(PPN)19550786X
035   $a(EXLCZ)993710000000872796
100   $a20160913d2017      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 12$aA First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics$b[electronic resource] $eTheory and Applications /$fby Laécio Carvalho de Barros, Rodney Carlos Bassanezi, Weldon Alexander Lodwick
205   $a1st ed. 2017.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2017.
215   $a1 online resource (XVI, 299 p. 113 illus., 15 illus. in color.)
225 1 $aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v347
300   $aIncludes Index.
311   $a3-662-53322-7 
327   $aFuzzy Sets Theory and Uncertainty in Mathematical Modeling -- The Extension Principle of Zadeh and Fuzzy Numbers -- Fuzzy Relations -- Notions of Fuzzy Logic -- Fuzzy Rule-Based Systems.
330   $aThis book provides an essential introduction to the field of dynamical models. Starting from classical theories such as set theory and probability, it allows readers to draw near to the fuzzy case. On one hand, the book equips readers with a fundamental understanding of the theoretical underpinnings of fuzzy sets and fuzzy dynamical systems. On the other, it demonstrates how these theories are used to solve modeling problems in biomathematics, and presents existing derivatives and integrals applied to the context of fuzzy functions. Each of the major topics is accompanied by examples, worked-out exercises, and exercises to be completed. Moreover, many applications to real problems are presented. The book has been developed on the basis of the authors? lectures to university students and is accordingly primarily intended as a textbook for both upper-level undergraduates and graduates in applied mathematics, statistics, and engineering. It also offers a valuable resource for practitioners such as mathematical consultants and modelers, and for researchers alike, as it may provide both groups with new ideas and inspirations for projects in the fields of fuzzy logic and biomathematics.
410  0$aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v347
606   $aComputational intelligence
606   $aBiomathematics
606   $aStatistics 
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000
606   $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030
615  0$aComputational intelligence.
615  0$aBiomathematics.
615  0$aStatistics .
615 14$aComputational Intelligence.
615 24$aMathematical and Computational Biology.
615 24$aStatistics for Life Sciences, Medicine, Health Sciences.
676   $a511.313
700   $ade Barros$b Laécio Carvalho$4aut$4http://id.loc.gov/vocabulary/relators/aut$0988549
702   $aBassanezi$b Rodney Carlos$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aLodwick$b Weldon Alexander$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254353503321
996   $aA First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics$92260465
997   $aUNINA