Computational Intelligence and Mathematics for Tackling Complex Problems 2

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This book collects the final versions of the highest quality papers presented at the conference 11th European Symposium on Computational Intelligence and Mathematics held on October 2–5, 2019, in Toledo (Spain). The conjugation of computational sciences with different mathematical tools is essential in order to solve different challenges that arise in a wide-ranging knowledge areas. Nowadays, many promising research lines are being developed in this direction from the theoretical and applicational perspectives.

In this publication, computational intelligence and mathematics are combined in interesting research works that aim to give answers to complex real problems. Moreover, the technical program of this conference included four excellent keynote speeches, given by Prof. José Luis Verdegay (Guidelines to solve Decision Making Problems), Prof. Joao Paulo Carvalho (Recommender Systems: Using Fuzzy Fingerprints for ``Proper'' Recommendations), Dr. Andreja Tepavcevic (Special lattice valued structures and approximate solutions of linear equations), and Prof. Juan Moreno-Garcia (Generating linguistic descriptions using Linguistic Petri Nets).

Author(s): María Eugenia Cornejo, László T. Kóczy, Jesús Medina-Moreno, Juan Moreno-García
Series: Studies in Computational Intelligence, 955
Publisher: Springer
Year: 2022

Language: English
Pages: 230
City: Cham

Preface
Contents
A New Exploitation Scheme in the Context of Bipolar Classifiers
1 Introduction
2 Bipolar Knowledge Representation in Supervised Classification
3 A New CART-Based Approach to Exploit Bipolar Scores
4 Experimental Study
5 Concluding Remarks
References
Dynamic Maximal Covering Location Problem with Facility Types and Time Dependent Availability
1 Introduction
2 Dynamic Maximal Covering Location Problem with Facility Types and Time Dependent Availability
3 Two Illustrative Examples
4 Final Comments
References
Implicative Linguistic Summaries
1 Introduction
2 Linguistic Summaries
3 Computing the Validity of Linguistic Summaries
4 Conclusions and Future Work
References
Comparison of Discrete Memetic Evolutionary Metaheuristics for TSP
1 Introduction
2 Increasing Number of Existing Metaheuristics
3 Common Parts of the Algorithms
4 Analized Discrete Memetic Evolutionary Metaheuristics and Other Algorithms, Which Are Applied for TSP
5 The Applied Simulation Test Methods
6 TSP Instances
7 Results of the Simulation and Its Conclusions
8 Future Research Opportunities
References
Syntactic Analysis of Sentences Using Deep Neural Networks
1 Introduction
2 Detection of Sentence Components Using Deep Learning Models
3 Experimental Results
4 Conclusions and Future Works
References
Estimating Remaining Time of Business Processes with Structural Attributes of the Traces
1 Introduction
2 A New Prediction Model for Remaining Time Estimation
2.1 Definition of Attributes
2.2 Extended Annotated Transition System
3 Experimental Validation and Conclusions
References
Convolutional Neural Networks in the Ovarian Cancer Detection
1 Introduction
2 Histopathological Preliminaries
3 Data Pre-procesing and Convolutional Neural Network
4 Numerical Results
5 Conclusions
References
Analyzing the Performance of TSP Solver Methods
1 Introduction
2 Computational Results
2.1 Comparison of Tour Lengths Found by the TSP Solver Algorithms
2.2 Fitting Curves to the Run Times of the Algorithms
3 Conclusion
References
A Fuzzy Model to Aggregate Performance Indicators in Sports
1 Introduction
2 Background
2.1 Type-1 OWA Aggregation Operator
3 Methodology
4 Case of Study
5 Conclusions and Future Work
References
Formal Analysis of Solar Power and Weather Data
1 Introduction
2 Preliminary Concepts
2.1 Multi-adjoint Formal Concept Analysis
2.2 Open Data and JavaScript Object Notation
3 From Open Data to Formal Contexts
4 Study of Environmental States
4.1 General Study of Environmental States
4.2 Particular Study of Environmental States
5 Analysis of Energy Production
6 Conclusions and Future Work
References
A New Community Detection Problem Based on Bipolar Fuzzy Measures
1 Introduction
2 Community Detection Problems over Extended Fuzzy Graphs
3 An Adaptation of Louvain Algorithm for Extended Bipolar Fuzzy Graphs
4 Conclusions
References
Novel Methods of FCM Model Reduction
1 Introduction
1.1 Quick Overview of Fuzzy Cognitive Maps
1.2 The Motivating Problem: Waste Management System
1.3 Existing Model Reduction Methods
1.4 Model Reduction Technique Based on Fuzzy Tolerance Relations
2 Further Clustering-Based Model Reduction Techniques
2.1 K-Means-Based Method
2.2 Fuzzy C-Means-Based Method
3 Results
3.1 A Basic Example of Model Reduction
3.2 Reduction of the Waste Management Model
4 Conclusions
References
Some Implications of Interval Approach to Dimension for Network Complexity
1 Introduction
2 Quasiorthogonal Dimension
3 Computation of Finite Mappings by Feedforward Networks
4 Bounds on Approximate Measure of Network Sparsity
5 Discussion
References
Social Indexes Segregation Based on MEOWA and MOOWA Aggregation Operators
1 Introduction
2 OWA and MEOWA Aggregation Operators
3 MOOWA Aggregation Operators
4 Social Indexes Segregation Based on MEOWA, MOOWA and OWA Aggregation Operators
5 Final Remarks
References
Combining Conceptual Graphs and Sentiment Analysis for Fake News Detection
1 Introduction
2 Related Work
3 Framework Architecture
4 Experiments
4.1 System Initialization
4.2 Evaluation of New Content
5 Conclusions
References
A Weakened Notion of Congruence to Reduce Concept Lattices
1 Introduction
2 Preliminaries
3 Local congruences
4 Conclusions and Future Work
References
Interactive Search by Using Minimal Generators
1 Introduction
2 Preliminaries
3 Using Minimal Generators as Forks
4 Conclusions and Future Works
References
Knowledge Implications in Multi-adjoint Concept Lattices
1 Introduction
2 Preliminaries
3 Knowledge-Implications in Multi-adjoint Concept Lattices
4 Conclusions and Future Works
References
Fuzzy Decision Support Methodology for Sustainable Packaging System Design
1 Introduction
1.1 General Introduction and Motivation
1.2 Structure of the Paper
1.3 Literature Review
1.4 Preliminaries of the Research
2 Methodology Applied
2.1 The Fuzzy Signature Model
3 Results
3.1 External Factors
3.2 Main Aspects
3.3 Aggregation Operators
4 Conclusions and Future Research
References
Some Relationships Between the Notions of f-Inclusion and f-Contradiction
1 Introduction
2 Preliminaries
2.1 Basic Notions About Fuzzy Sets
2.2 -Indexes of Inclusion
2.3 -Indexes of Contradiction
3 Relationships Between f-Contradiction and f-Inclusion
3.1 From f-Inclusion to f-Contradiction
3.2 From f-Contradiction to f-Inclusion
4 Conclusion and Future Work
References
Decomposition Integrals for Interval-Valued Functions
1 Introduction
2 Preliminaries
3 Aumann-Like Decomposition Integral
4 Direct Modification of Definition
5 Concluding Remarks
References
Relational Powerset Theories
1 Introduction
2 Relational Powerset Theory
3 Conclusions
References
On Some Categories Underlying Knowledge Graphs
1 Introduction
2 RDFData in a Nutshell
3 Constructing Categories on RDF-Based Graphs
3.1 Category of RDF Triples: RdfT
3.2 Introducing Formal Contexts and Isotone Galois Connections
3.3 Construction of RDF Power Set Category
4 Conclusions and Future Work
References
On Two Categories of Many-Level Fuzzy Morphological Spaces
1 Introduction
2 Many-Level L-fuzzy Relations
3 Image and Preimage Operators on L-fuzzy Powersets Induced by Many-Level L-fuzzy Relations
4 Operators of Many-Level Fuzzy Erosion and Dilation
4.1 Many-Level Fuzzy Erosion
4.2 Many-Level Fuzzy Dilation
5 Categories of Many-Level Fuzzy Morphological Spaces
5.1 Category E of Many-Valued Erosion Spaces
5.2 Category Δ of Many-Valued Fuzzy Dilation Spaces
5.3 Categories EΔ-1 and E-1Δ
6 Conclusion
References
Congruences on Lattices and Lattice-Valued Functions
1 Introduction
2 Preliminaries
3 Results
3.1 Complete Congruences on L Induced by L-Valued Functions
3.2 From Congruences to Residuated Maps
3.3 Representation of Finite Lattices
4 Conclusion
References
Some Roughness Features of Fuzzy Sets
1 Introduction
2 Preliminary Notions
3 Rough Numbers
4 Rough Real Functions
4.1 Rough Continuity–Discontinuity
4.2 Pointwise Lower and Upper Approximations of Real Functions
5 Fuzzy Sets from the Point of View of Rough Calculus
6 Conclusion
References
Author Index