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Computational Intelligence and Mathematics for Tackling Complex Problems 3

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  • © 2022

Overview

Editors:
  1. István Á. Harmati

    1. Department of Mathematics and Computational Sciences, Széchenyi István University, Győr, Hungary

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  2. László T. Kóczy

    1. Department of Information Technology, Széchenyi István University, Győr, Hungary

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  3. Jesús Medina

    1. Department of Mathematics, Science Faculty, Universidad de Cádiz, Cádiz, Spain

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  4. Eloísa Ramírez-Poussa

    1. Department of Mathematics, Faculty of Economics and Business, University of Cádiz, Cádiz, Spain

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  • Presents an investigation of connections and synergy between mathematics and computational intelligence offers effective and efficient solutions to complex, real world and sometimes „unsolvable" problems
  • Presents advanced methodologies, tools and techniques of computational intelligence rooted in the vast apparatus of traditional mathematics
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 959)

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Table of contents (25 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Q-Fuzzy Subtopology

    • Irina Perfilieva
    Pages 1-6

  3. Lattice-Valued Algebraic Structures Via Residuated Maps

    • Branimir Šešelja, Andreja Tepavčević
    Pages 7-13

  4. Invariant Aggregation and Pre-aggregation Functions

    • Anna Kolesárová, Radko Mesiar
    Pages 15-21

  5. Finite Model Property and Varieties of BL-Algebras

    • Stefano Aguzzoli, Matteo Bianchi
    Pages 23-30

  6. Collection Integral on Infinite Spaces

    • Adam Šeliga, Alexandra Šipošová
    Pages 31-37

  7. Duhamel Hereditary Integrals in Viscoelasticity

    • Mária Minárová, Jozef Sumec
    Pages 39-46

  8. Weighted Penalty-Based Aggregation

    • Andrea Stupňanová
    Pages 47-56

  9. Aggregation Operators in Fuzzy Relational Mathematical Morphology: Erosion and Dilation

    • Alexander Šostak, Ingrīda Uljane, Patrik Eklund
    Pages 57-71

  10. Characterization of the Infimum of Classes Induced by an Attribute Reduction in FCA

    • Roberto G. Aragón, Jesús Medina, Eloísa Ramírez-Poussa
    Pages 73-79

  11. Extensions of Fuzzy Measures Based on Double Generalization of the Lovász Extension Formula

    • Ľubomíra Horanská
    Pages 81-88

  12. On the Intuitionistic Fuzzy Representations of Rough Real Functions

    • Zoltán Ernő Csajbók
    Pages 89-100

  13. Automatic Generation of Linguistic Descriptions of Electricity Consumption in the Buildings of a Large Institution

    • Juan Moreno-Garcia, Luis Jimenez-Linares, Luis Rodriguez-Benitez
    Pages 101-109

  14. On the Selection the Rule Membership Functions and Fuzzy Rule Interpolation

    • Szilvia Nagy, Ferenc Lilik, Brigita Sziová, Szonja Szujó, Lászó T. Kóczy
    Pages 111-118

  15. Linguistic Descriptions of Data Via Fuzzy Formal Concept Analysis

    • M. Eugenia Cornejo, Jesús Medina, Clemente Rubio-Manzano
    Pages 119-125

  16. Rough Sets and Topology in AST: A Study Via Higher-Order Fuzzy Logic

    • Vilém Novák
    Pages 127-138

  17. olgga: An On-Line Generation-Less Genetic Algorithm

    • Antal Buss, Marek Z. Reformat, Petr Musilek
    Pages 139-147

  18. Some Dynamical Properties of Higher-Order Fuzzy Cognitive Maps

    • István Á. Harmati, László T. Kóczy
    Pages 149-156

  19. A Fuzzy Declarative Approach to Classify Unlabeled Short Texts Based on Automatically Constructed WordNet Ontologies

    • Sami H. Al-Sayadi, Pascual Julian-Iranzo, Francisco P. Romero, Fernando Sáenz-Pérez
    Pages 157-164

  20. Automatic Recognition of Handwritten Urdu Characters

    • Hisham Zargar, Ruba Almahasneh, László T. Kóczy
    Pages 165-175
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Keywords

About this book

Complex problems and systems, which prevail in the real world, cannot often be tackled and solved either by traditional methods offered by mathematics or even the traditional computer science (CS) and and artificial intelligence (AI)..). What is the way out of this dilemma? Advanced methodologies, and tools and techniques, „mimicking” human reasoning or the behavior of animals, animal populations or certain parts of the living bod, based on traditional computer science science and the initial approaches of artificial intelligence  are often referred to as biologically inspired methods, or often computational intelligence (CI). Computational intelligence offers effective and efficient solutions to many „unsolvable" problems problems. However, it is far from being a ready to use and complete collection of approaches, and is rather a continuously developing field without clear borders. The emerging new models and algorithms of computational intelligence are deeply rooted in thevast apparatus of traditional mathematics. Thus, the investigation of connections and synergy between mathematics and computational intelligence is an eminent goal which is periodically pursued by a group of mathematicians and computational intelligence researchers who regularly attand the annual European Symposia on Computational Intelligence and Mathematics (ESCIM). Some relevant papers from the last ESCIM-2020 are included in this volume. 

Editors and Affiliations

  • Department of Mathematics and Computational Sciences, Széchenyi István University, Győr, Hungary

    István Á. Harmati

  • Department of Information Technology, Széchenyi István University, Győr, Hungary

    László T. Kóczy

  • Department of Mathematics, Science Faculty, Universidad de Cádiz, Cádiz, Spain

    Jesús Medina

  • Department of Mathematics, Faculty of Economics and Business, University of Cádiz, Cádiz, Spain

    Eloísa Ramírez-Poussa

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