A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics: Theory and Applications

Author:   Laécio Carvalho de Barros ,  Rodney Carlos Bassanezi ,  Weldon A. Lodwick
Publisher:   Springer International Publishing AG
Edition:   2nd ed. 2024
Volume:   432
ISBN:  

9783031504914


Pages:   315
Publication Date:   21 March 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics: Theory and Applications


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Author:   Laécio Carvalho de Barros ,  Rodney Carlos Bassanezi ,  Weldon A. Lodwick
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2nd ed. 2024
Volume:   432
ISBN:  

9783031504914


ISBN 10:   3031504917
Pages:   315
Publication Date:   21 March 2024
Audience:   College/higher education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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Author Information

Laécio Carvalho de Barros is a Professor of Applied Mathematics at the Institute of Mathematics, Statistics and Computational Sciences, the University of Campinas, and holds a Ph.D. degree in Applied Mathematics from the University of Campinas, São Paulo, Brazil, in 1997. He is co-author of Fuzzy Logic in Action: Applications in Epidemiology and Beyond, Studies in Fuzziness and Soft Computing Vol. 232, 2008, Springer-Verlag Berlin Heidelberg, and of Fuzzy Differential Equations in Various Approaches, SpringerBriefs in Mathematics, 2015, Springer International Publishing. His current research interests include modeling of biological phenomena, fuzzy sets theory, fuzzy dynamical systems, and differential and integral calculus for fuzzy interactive processes. Moreover, he has taught fuzzy mathematical modeling and fuzzy set theory classes for over twenty years to both undergraduate and graduate students. Rodney Carlos Bassanezi is a Professor emeritus of Applied Mathematics at the Institute of Mathematics, Statistics and Computational Sciences at the University of Campinas starting his university teaching career there in 1969. He received a Ph.D. degree in mathematics from the University of Campinas in 1977. He held postdoctoral and research positions at the Libera Universitad di Trento, Italy 1981, 1985, 1990 and 1993. His research activities cover mathematical analysis (minimal surfaces), biomathematics, and fuzzy dynamical systems. He has published some books in Portuguese, notably one textbook on differential equations (1988), one textbook on mathematical modeling (2002), as well as an introduction to calculus and applications (2015). He has been the president of the Sociedade Latino-Americano de Biomatemática (1999-2001) and the coordinator of the graduate program in mathematics at the Federal University ABC in São Paulo. He has directed 57 Masters and 28 Ph.D. theses and his students have been teaching throughout Latin America. Weldon Alexander Lodwick is a Professor of Mathematics at the University of Colorado Denver. He holds a Ph.D. degree in mathematics (1980) from Oregon State University, He is the co-editor of the book Fuzzy Optimization: Recent Developments and Applications, Studies in Fuzziness and Soft Computing Vol. 254, Springer-Verlag Berlin Heidelberg, 2010, and the author of the monograph Interval and Fuzzy Analysis: A Unified Approach in Advances in Imaging and Electronic Physics, Vol. 148, pp. 76-192, Elsevier, 2007. His current research interests include interval analysis, distance geometry, as well as flexible and generalized uncertainty optimization. Over the last thirty years he has taught applied mathematical modeling classes to undergraduate and graduate students on topics such as radiation therapyof tumor, fuzzy and possibilistic optimization modeling, molecular distance geometry problems, and neural networks applied to control problems.

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