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A first course in fuzzy logic, fuzzy...

Barros, Laecio Carvalho de.

A first course in fuzzy logic, fuzzy dynamical systems, and biomathematicstheory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A first course in fuzzy logic, fuzzy dynamical systems, and biomathematicsby Laecio Carvalho de Barros, Rodney Carlos Bassanezi, Weldon Alexander Lodwick.
Reminder of title:	theory and applications /
Author:	Barros, Laecio Carvalho de.
other author:	Bassanezi, Rodney Carlos.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2017.
Description:	xvi, 299 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fuzzy logic.
Online resource:	http://dx.doi.org/10.1007/978-3-662-53324-6
ISBN:	9783662533246$q(electronic bk.)

A first course in fuzzy logic, fuzzy dynamical systems, and biomathematicstheory and applications /
Barros, Laecio Carvalho de.

A first course in fuzzy logic, fuzzy dynamical systems, and biomathematicstheory and applications /[electronic resource] :by Laecio Carvalho de Barros, Rodney Carlos Bassanezi, Weldon Alexander Lodwick. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - xvi, 299 p. :ill. (some col.), digital ;24 cm. - Studies in fuzziness and soft computing,v.3471434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

Fuzzy 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.

This 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.

ISBN: 9783662533246$q(electronic bk.)

Standard No.: 10.1007/978-3-662-53324-6doiSubjects--Topical Terms:

181981
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

A first course in fuzzy logic, fuzzy dynamical systems, and biomathematicstheory and applications /
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245 1 2 $a A first course in fuzzy logic, fuzzy dynamical systems, and biomathematics $h [electronic resource] : $b theory and applications / $c by Laecio Carvalho de Barros, Rodney Carlos Bassanezi, Weldon Alexander Lodwick.
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505 0 $a Fuzzy 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.
520 $a This 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.
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