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A first course in fuzzy logic, fuzzy dynamical systems, and biomathematics = theory and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A first course in fuzzy logic, fuzzy dynamical systems, and biomathematics/ by Laécio Carvalho de Barros, Rodney Carlos Bassanezi, Weldon A. Lodwick.
其他題名:	theory and applications /
作者:	Barros, Laecio Carvalho de.
其他作者:	Bassanezi, Rodney Carlos.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xv, 315 p. :ill., digital ;24 cm.
內容註:	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 -- Fuzzy Relational Equations and Approximation -- Measure, Integrals and Fuzzy Events -- Fuzzy Dynamical Systems.
Contained By:	Springer Nature eBook
標題:	Fuzzy logic. -
電子資源:	https://doi.org/10.1007/978-3-031-50492-1
ISBN:	9783031504921

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

A first course in fuzzy logic, fuzzy dynamical systems, and biomathematicstheory and applications /[electronic resource] :by Laécio Carvalho de Barros, Rodney Carlos Bassanezi, Weldon A. Lodwick. - Second edition. - Cham :Springer Nature Switzerland :2024. - xv, 315 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v. 4321860-0808 ;. - Studies in fuzziness and soft computing ;v. 432..

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 -- Fuzzy Relational Equations and Approximation -- Measure, Integrals and Fuzzy Events -- Fuzzy Dynamical 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 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.

ISBN: 9783031504921

Standard No.: 10.1007/978-3-031-50492-1doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64 / .B377 2024

Dewey Class. No.: 511.313

A first course in fuzzy logic, fuzzy dynamical systems, and biomathematics = theory 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 Laécio Carvalho de Barros, Rodney Carlos Bassanezi, Weldon A. Lodwick.
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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 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.
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