Häftad, Engelska, 2024
Del i serien Uncertainty, Computational Techniques, and Decision Intelligence
Decision-Making Models
A Perspective of Fuzzy Logic and Machine Learning
Av Allahviranloo,Tofig, Tofigh Allahviranloo, Witold Pedrycz, Amir Seyyedabbasi
1929 kr
Beställningsvara. Skickas inom 11-20 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.
Beskrivning
Other areas of note include optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision-making mechanisms realized under uncertainty.
- Introduces mathematics of intelligent systems which provides the usage of mathematical rigor such as precise definitions, theorems, results, and proofs
- Provides extended and new comprehensive methods which can be used efficiently in a fuzzy environment as well as optimization problems and related fields
- Covers applications and elaborates on the usage of the developed methodology in various fields of industry such as software technologies, biomedicine, image processing, and communications
Produktinformation
- Utgivningsdatum: 2024-07-25
- Mått: 191 x 235 x 35 mm
- Vikt: 1 420 g
- Format: Häftad
- Språk: Engelska
- Serie: Uncertainty, Computational Techniques, and Decision Intelligence
- Antal sidor: 678
- Förlag: Elsevier Science
- ISBN: 9780443161476
Utforska kategorier
Mer information
Tofigh Allahviranloo is a full professor of applied mathematics at Istinye University, Turkey. As a trained mathematician and computer scientist, Prof. Allahviranloo has developed a passion for multi- and interdisciplinary research. He is not only deeply involved in fundamental research in fuzzy applied mathematics, especially fuzzy differential equations, but he also aims at innovative applications in the applied biological sciences. He is the author of several books and many papers published by Elsevier and Springer. He actively serves the research community, as Editor-in-Chief of the International J. of Industrial Mathematics, and Associate Editor or editorial board member of several other journals, including Information Sciences, Fuzzy Sets and Systems, Journal of Intelligent and Fuzzy Systems, Iranian J. of Fuzzy Systems and Mathematical Sciences. Dr. Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in computational intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. In 2012 he was elected a fellow of the Royal Society of Canada. His main research directions involve computational intelligence, fuzzy modeling and granular computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. He is also an author of 18 research monographs and edited volumes covering various aspects of computational intelligence, data mining, and software engineering. Dr. Pedrycz is vigorously involved in editorial activities. He is the editor-in-chief of Information Sciences, editor-in-chief of WIREs Data Mining and Knowledge Discovery, and co-editor-in-chief of International Journal of Granular Computing, and Journal of Data Information and Management. He serves on the advisory board of IEEE Transactions on Fuzzy Systems.Amir Seyyedabbasi is an assistant professor of software engineering at İstinye University, Turkey. He received his B.Sc., M.Sc., and Ph.D. degrees in computer engineering. His research interests include optimization algorithms, routing protocol design in wireless sensor networks, and IoT. Dr. Seyyedabbasi has several articles in Springer and Elsevier. He serves as a reviewer in some respected journals. He aims to develop and propose new and the hybrid optimization algorithm in engineering.
Recensioner i media
Select Guide Rating
Butikslager
Ej i lager i butik.
Betyg & recensioner
0 recensioner
Inga recensioner tillgängliga.