Artificial intelligence in control and decision-making systems : dedicated to Professor Janusz Kacprzyk / Yuriy P. Kondratenko, Vladik Kreinovich, Witold Pedrycz, Arkadii Chikrii, Anna M. Gil-Lafuente, editors.
Kacprzyk, Janusz, honouree.; Kondratenko, Yuriy P., editor.; Kreinovich, Vladik, editor.; Pedrycz, Witold, 1953- editor.; Chikriĭ, A. A. (Arkadiĭ Alekseevich), editor.; Gil Lafuente, Ana María, editor.
2023
Q335 .A78 2023
Available Online

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Title Artificial intelligence in control and decision-making systems : dedicated to Professor Janusz Kacprzyk / Yuriy P. Kondratenko, Vladik Kreinovich, Witold Pedrycz, Arkadii Chikrii, Anna M. Gil-Lafuente, editors.
ISBN 9783031257599 electronic book
3031257596 electronic book
9783031257582
3031257588
DOI https://doi.org/10.1007/978-3-031-25759-9
Published Cham, Switzerland : Springer, 2023.
Language English
Description 1 online resource (xvii, 388 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-25759-9 doi
Call Number Q335 .A78 2023
Dewey Decimal Classification 006.3
Summary This book presents an authoritative collection of contributions reporting on computational intelligence, fuzzy systems as well as artificial intelligence techniques for modeling, optimization, control and decision-making together with applications and case studies in engineering, management and economic sciences. Dedicated to the Academician of the Polish Academy of Sciences, Professor Janusz Kacprzyk in recognition of his pioneering work, the book reports on theories, methods and new challenges in artificial intelligence, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike. The book consists of the 18 chapters, presented by distinguished and experienced authors from 16 different countries (Australia, Brazil, Canada, Chile, Germany, Hungary, Israel, Italy, China, R.N.Macedonia, Saudi Arabia, Spain, Turkey, United States, Ukraine, and Vietnam). All chapters are grouped into three parts: Computational Intelligence and Fuzzy Systems, Artificial Intelligence Techniques in Modelling and Optimization, and Computational Intelligence in Control and Decision Support Processes. The book reflects recent developments and new directions in artificial intelligence, including computation method of the interval hull to solutions of interval and fuzzy interval linear systems, fuzzy-Petri-networks in supervisory control of Markov processes in robotic systems, fuzzy approaches for linguistic data summaries, first-approximation analysis for choosing fuzzy or neural systems and type-1 or type-2 fuzzy sets, matrix resolving functions in game dynamic problems, evolving stacking neuro-fuzzy probabilistic networks and their combined learning in online pattern recognition tasks, structural optimization of fuzzy control and decision-making systems, neural and granular fuzzy adaptive modeling, state and action abstraction for search and reinforcement learning algorithms. Among the most successful and perspective implementations in practical areas of human activity are tentative algorithms for neurological disorders, human-centric question-answering system, OWA operators in pensions, evaluation of the perception of public safety through fuzzy and multi-criteria approach, a multicriteria hierarchical approach to investment location choice, intelligent traffic signal control and generative adversarial networks in cybersecurity.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 24, 2023).
Added Author Kacprzyk, Janusz, honouree.
Kondratenko, Yuriy P., editor.
Kreinovich, Vladik, editor.
Pedrycz, Witold, 1953- editor.
Chikriĭ, A. A. (Arkadiĭ Alekseevich), editor.
Gil Lafuente, Ana María, editor.
Series Studies in computational intelligence ; v. 1087. 1860-9503
Available in Other Form Print version: 9783031257582
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Method for the Computation of the Interval Hull to Solutions of Interval and Fuzzy Interval Linear Systems
Fuzzy-Petri-Networks in Supervisory Control of Markov Processes in Robotized FMS and Robotic Systems
Using Fuzzy Set Approaches for Linguistic Data Summaries
Fuzzy or Neural, Type-1 or Type-2 - When Each Is Better: First-Approximation Analysis.

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