Springer, 2023. — 394 p. — (Studies in Computational Intelligence 1087). — ISBN: 978-3-031-25758-2.
This book presents an authoritative collection of contributions reporting on Computational Intelligence, fuzzy systems as well as Artificial Intelligence (AI) 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 18 chapters, presented by distinguished and experienced authors from 16 different countries. All chapters are grouped into three parts: Computational Intelligence and Fuzzy Systems, Artificial Intelligence Techniques in Modeling 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.
Computational Intelligence and Fuzzy Systems.
Methods 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.
Matrix Resolving Functions in Game Dynamic Problems.
Evolving Stacking Neuro-Fuzzy Probabilistic Networks and Their Combined Learning in Online Pattern Recognition Tasks.
Artificial Intelligence Techniques in Modeling and Optimization.
Intelligent Information Technology for 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.
A Tentative Algorithm for Neurological Disorders.
On the Use of Quasi-Sigmoids in Function Approximation Problems with Neural Networks.
Human-Centric Question-Answering System with Linguistic Terms.
Computational Intelligence in Control and Decision Support Processes 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.
Uncertainty in Computer and Decision-Making Sciences: A Bibliometric Overview.
Intelligent Traffic Signal Control Using a Rule-Based Fuzzy System.
Generative Adversarial Networks in Cybersecurity: Analysis and Response.