Contemporary Fuzzy Logic - A Perspective of Fuzzy Logic with Scilab

This book offers an essential introduction to fuzzy logic, starting with the classical notions and going through more advanced notions from the current state-of-the-art research. Each of the major topics is accompanied by examples, problems and Scilab codes. As a free open source software, Scilab offers everyone the chance to practice the concepts learned through the book. The book represents a synthesis of authors' research and experience through the lectures delivered to university students. It is primarily intended as a textbook for upper-level undergraduates and graduates in computer science, mathematics, physics and engineering. It also represents a valuable resource for practitioners and researchers alike, bringing ideas for projects in the broad field of fuzzy logic.

Sommario

Introduction to fuzzy sets.- Fuzzy numbers.- Fuzzy relations.- Fuzzy logic.- Fuzzy inference systems.- Combining artificial neural networks and fuzzy sets.- Fuzzy transform.- Introduction to granular computing.

Info autore

Stefania Tomasiello, Ph.D. in computer science (University of Salerno, Italy) is currently a lecturer of Artificial Intelligence with the Institute of Computer Science, University of Tartu, Estonia. Formerly, permanent researcher with CO.RI.SA. (Research Consortium on Agent Systems), University of Salerno, Italy and Senior Research Fellow with the Department of Management and Innovation Systems (DISA-MIS), University of Salerno. She holds the Italian Scientific Qualification to function as associate professor in computer science and numerical analysis. Principal investigator and work-package leader in several funded projects. Expert evaluator of applied research projects both for the Italian Ministry of Economic Development and some European bodies. TPC member in many international conferences, here included ACM and IEEE sponsored events. Her research interests lie in scientific and soft computing, AI, fuzzy mathematics, nonlinear dynamics. She authored and co-authored numerous papers in the above-mentioned areas. Associate editor of several SCI-indexed journals, including IEEE Transactions on Neural Networks and Learning Systems. ACM, ECMI, EUSFLAT, IEEE, INNS member.

Witold Pedrycz (IEEE Life Fellow) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a foreign member of the Polish Academy of Sciences and a Fellow of the Royal Society of Canada. He is a recipient of  several awards including Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society. 

His main research directions involve Computational Intelligence, Granular Computing, knowledge discovery, data science, and knowledge-based neural networks among others. 

Dr. Pedrycz is involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer). 

Vincenzo Loia is Full professor in Computer Science and Rector of University of Salerno. Graduated in Computer Science at the University of Salerno in 1985, and received his PhD in Computer Science in 1989 at the Université Pierre & Marie Curie Paris VI, France. Over the years, the pillars of his scientific research have been applied in various application domains, from medicine to law, and more recently in the cyber-intelligence field. It is exactly in this latter context, that he shows his great aptitude to multidisciplinary, by coordinating the scientific committee of the "Multidisciplinary Observatory for the fight against organised crime and terrorism". Moreover, his competences are used to support research related to the 4th industrial revolution, as demonstrated by his scientific responsibility and participation in national projects on smart manufacturing, and international projects on cyber physical systems.

He is Editor-in-Chief and Founder of the international journal "Ambient Intelligence and Humanized Computing", Springer- Verlag; Editor-in-Chief of the international journal "Evolutionary Intelligence", Springer-Verlag; Editor Responsible for Special Issues of the international journal "Soft Computing", Springer-Verlag; Co-Editor in Chief of the international journal"Information Processing Systems";

Associate Editor of the journals IEEE Transaction Systems, Man and Cybernetics: Systems; IEEE Transactions on Fuzzy Systems; IEEE Transactions on Cognitive and Developmental Systems. He wrote about 350 scientific papers, which have been published in proceedings of international conferences, book chapters, international journals. His H-index is 40. In the last ten years, he was Committee Member at more than 40 IEEE Society conferences. He was keynote speaker in several international conferences in Europe, USA, Taiwan, China, Japan, South Korea.

Dettagli sul prodotto

• Autori: Vincenz Loia, Vincenzo Loia, Witold Pedrycz, Stefania Tomasiello
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 11.08.2022
• EAN: 9783030989736
• ISBN: 978-3-0-3098973-6
• Pagine: 136
• Dimensioni: 155 mm x 12 mm x 235 mm
• Illustrazioni: XI, 136 p. 63 illus., 40 illus. in color.
• Serie: Big and Integrated Artificial Intelligence
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie