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 the 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 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.
Author(s): Yuriy P. Kondratenko; Vladik Kreinovich; Witold Pedrycz; Arkadii Chikrii; Anna M. Gil-Lafuente
Series: Studies in Computational Intelligence
Publisher: Springer
Year: 2023
Language: English
Pages: 394
Computational Intelligence and Fuzzy Systems
Methods for the Computation of the Interval Hull to Solutions of Interval and Fuzzy Interval Linear Systems . . . . . . . . . . . . . . . . . . . . . . . 3
Weldon A. Lodwick and Luiz Leduino Salles-Neto
Fuzzy-Petri-Networks in Supervisory Control of Markov Processes in Robotized FMS and Robotic Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Georgi M. Dimirovski, Yuanwei Jing, Jindong Shen, Kun Wang, Dilek Tukel, Figen Ozen, Gorjan Nadzinski, and Dushko Stavrov
Using Fuzzy Set Approaches for Linguistic Data Summaries . . . . . . . . . . . 49
Ronald R. Yager and Fred Petry
Fuzzy or Neural, Type-1 or Type-2—When Each Is Better: First-Approximation Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
Vladik Kreinovich and Olga Kosheleva
Matrix Resolving Functions in Game Dynamic Problems . . . . . . . . . . . . . . 75
A. A. Chikrii and G. Ts. Chikrii
Evolving Stacking Neuro-Fuzzy Probabilistic Networks and Their Combined Learning in Online Pattern Recognition Tasks . . . . . . . . . . . . . 95
Ye. Bodyanskiy and O. Chala
Artificial Intelligence Techniques in Modelling and Optimization
Intelligent Information Technology for Structural Optimization of Fuzzy Control and Decision-Making Systems . . . . . . . . . . . . . . . . . . . . . . 127
Oleksiy V. Kozlov, Yuriy P. Kondratenko, and Oleksandr S. Skakodub
Neural and Granular Fuzzy Adaptive Modeling . . . . . . . . . . . . . . . . . . . . . . 167
Alisson Porto and Fernando Gomide
State and Action Abstraction for Search and Reinforcement Learning Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181
Alexander Dockhorn and Rudolf Kruse
A Tentative Algorithm for Neurological Disorders . . . . . . . . . . . . . . . . . . . . 199
Jaime Gil Aluja and Jean Jacques Askenasy
On the Use of Quasi-Sigmoids in Function Approximation Problems with Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223
Francesco Carlo Morabito, Maurizio Campolo, and Cosimo Ieracitano
Human-Centric Question-Answering System with Linguistic Terms . . . . 239
Nhuan D. To, Marek Z. Reformat, and Ronald R. Yager
Computational Intelligence in Control and Decision Support Processes
OWA Operators in Pensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267
Anton Figuerola-Wischke, Anna M. Gil-Lafuente, and José M. Merigó
Evaluation of the Perception of Public Safety Through Fuzzy and Multi-criteria Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293
Martin Leon-Santiesteban, Alicia Delgadillo-Aguirre, Martin I. Huesca-Gastelum, and Ernesto Leon-Castro
A Multicriteria Hierarchical Approach to Investment Location Choice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305
Laura Arenas, Manuel Muñoz Palma, Pavel Anselmo Alvarez Carrillo, Ernesto León Castro, and Anna M. Gil-Lafuente
Uncertainty in Computer and Decision-Making Sciences: A Bibliometric Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325
Carlos J. Torres-Vergara, Víctor G. Alfaro-García, and Anna M. Gil-Lafuente
Intelligent Traffic Signal Control Using Rule Based Fuzzy System . . . . . . 347
Tamrat D. Chala and László T. Kóczy
Generative Adversarial Networks in Cybersecurity: Analysis and Response . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373
Oleksandr S. Striuk and Yuriy P. Kondratenko
