03798nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220100009800235245020800333250001800541264006900559300006500628336002600693337002600719338003600745347002400781490006300805505030500868520139301173650003902566650002702605650002102632650003902653650005102692650002602743700009402769700008702863710003402950773002602984776003603010776003603046776003603082830007003118856004603188912001403234912001503248999001703263978-3-031-50492-1DE-He21320251030111732.0cr nn 008mamaa240320s2024    sz |    s    |||| 0|eng d  a97830315049219978-3-031-50492-17 a10.1007/978-3-031-50492-12doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema1 ade Barros, Laécio Carvalho.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97349312aA First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematicsh[electronic resource] :bTheory and Applications /cby Laécio Carvalho de Barros, Rodney Carlos Bassanezi, Weldon A. Lodwick.  a2nd ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXV, 315 p. 120 illus., 23 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Fuzziness and Soft Computing,x1860-0808 ;v4320 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 -- Fuzzy Relational Equations and Approximation -- Measure, Integrals and Fuzzy Events -- Fuzzy Dynamical Systems.  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 presents some concepts of derivatives, integrals and differential equations 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, mainly in biomathematics where the so-called p-fuzzy systems play an important role. 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. This thoroughly updated second edition includes a new chapter on fuzzy optimization, which also presents an application in carbon markets analysis and modeling. 0aComputational intelligence.964052 0aBiomathematics.970325 0aBiometry.96598114aComputational Intelligence.96405224aMathematical and Computational Biology.97032724aBiostatistics.9659851 aBassanezi, Rodney Carlos.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9734941 aLodwick, Weldon A.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9734952 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303150491408iPrinted edition:z978303150493808iPrinted edition:z9783031516870 0aStudies in Fuzziness and Soft Computing,x1860-0808 ;v43296828540uhttps://doi.org/10.1007/978-3-031-50492-1  aZDB-2-INR  aZDB-2-SXIT  c58493d58493