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© 2020

Rough Sets

International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 – July 3, 2020, Proceedings

  • Rafael Bello
  • Duoqian Miao
  • Rafael Falcon
  • Michinori Nakata
  • Alejandro Rosete
  • Davide Ciucci
Conference proceedings IJCRS 2020

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12179)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 12179)

Table of contents

  1. Front Matter
    Pages i-xiv
    PDF

  2. General Rough Sets

    1. Front Matter
      Pages 1-1
      PDF
    2. Rough Forgetting
      Patrick Doherty, Andrzej Szałas
      Pages 3-18
      PDF
    3. Functional Extensions of Knowledge Representation in General Rough Sets
      A. Mani
      Pages 19-34
      PDF
    4. Similarity Based Granules
      Dávid Nagy, Tamás Mihálydeák, Tamás Kádek
      Pages 35-47
      PDF
    5. Approximate Reaction Systems Based on Rough Set Theory
      Andrea Campagner, Davide Ciucci, Valentina Dorigatti
      Pages 48-60
      PDF
    6. Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning
      Zbigniew Suraj, Aboul Ella Hassanien, Sibasis Bandyopadhyay
      Pages 61-77
      PDF
    7. Rough Sets Meet Statistics - A New View on Rough Set Reasoning About Numerical Data
      Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński
      Pages 78-92
      PDF

  3. Three-Way Decision Theory

    1. Front Matter
      Pages 93-93
      PDF
    2. An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions
      Zhiwen Jian, Hiroshi Sakai, Takuya Ohwa, Kao-Yi Shen, Michinori Nakata
      Pages 95-110
      PDF
    3. A Graph-Based Keyphrase Extraction Model with Three-Way Decision
      Tianlei Chen, Duoqian Miao, Yuebing Zhang
      Pages 111-121
      PDF
    4. Modeling Use-Oriented Attribute Importance with the Three-Way Decision Theory
      Xin Cui, JingTao Yao, Yiyu Yao
      Pages 122-136
      PDF
    5. Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review
      Andrea Campagner, Federico Cabitza, Davide Ciucci
      Pages 137-152
      PDF
    6. Three-Way Decisions Community Detection Model Based on Weighted Graph Representation
      Jie Chen, Yang Li, Shu Zhao, Xiangyang Wang, Yanping Zhang
      Pages 153-165
      PDF

  4. Attribute Reduction

    1. Front Matter
      Pages 167-167
      PDF
    2. Quick Maximum Distribution Reduction in Inconsistent Decision Tables
      Baizhen Li, Wei Chen, Zhihua Wei, Hongyun Zhang, Nan Zhang, Lijun Sun
      Pages 169-182
      PDF
    3. Attribute Reduction from Closure Operators and Matroids in Rough Set Theory
      Mauricio Restrepo, Chris Cornelis
      Pages 183-192
      PDF
    4. The Reduct of a Fuzzy \(\beta \)-Covering
      Lingling Mao, Jingqian Wang, Peiqiu Yu
      Pages 193-203
      PDF
    5. The Problem of Finding the Simplest Classifier Ensemble is NP-Hard – A Rough-Set-Inspired Formulation Based on Decision Bireducts
      Dominik Ślęzak, Sebastian Stawicki
      Pages 204-212
      PDF
    6. On Positive-Correlation-Promoting Reducts
      Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Ślęzak
      Pages 213-221
      PDF

  5. Granular Computing

    1. Front Matter
      Pages 223-223
      PDF
    2. Feature and Label Association Based on Granulation Entropy for Deep Neural Networks
      Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Koen Vanhoof, Rafael Bello
      Pages 225-235
      PDF
    3. Multi-granularity Complex Network Representation Learning
      Peisen Li, Guoyin Wang, Jun Hu, Yun Li
      Pages 236-250
      PDF
    4. Towards Student Centric Rough Concept Inventories
      A. Mani
      Pages 251-266
      PDF
    5. HGAR: Hybrid Granular Algorithm for Rating Recommendation
      Fulan Qian, Yafan Huang, Jianhong Li, Shu Zhao, Jie Chen, Xiangyang Wang et al.
      Pages 267-279
      PDF

  6. Formal Concept Analysis

    1. Front Matter
      Pages 281-281
      PDF
    2. Concept Analysis Using Quantitative Structured Three-Way Rough Set Approximations
      Mengjun Hu
      Pages 283-297
      PDF
    3. On the Hierarchy of Equivalence Classes Provided by Local Congruences
      Roberto G. Aragón, Jesús Medina, Eloísa Ramírez-Poussa
      Pages 298-307
      PDF
    4. Object Oriented Protoconcepts and Logics for Double and Pure Double Boolean Algebras
      Prosenjit Howlader, Mohua Banerjee
      Pages 308-323
      PDF
    5. Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
      M. José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa
      Pages 324-336
      PDF
    6. Algebraic Structure of Adjoint Triples Generating a Weak Negation on the Unit Interval
      M. Eugenia Cornejo, Jesús Medina, Eloísa Ramírez-Poussa
      Pages 337-348
      PDF
    7. Representative Set of Objects in Rough Sets Based on Galois Connections
      Nicolás Madrid, Eloísa Ramírez-Poussa
      Pages 349-361
      PDF

  7. Data Summarization

    1. Front Matter
      Pages 363-363
      PDF
    2. Discovering Fails in Software Projects Planning Based on Linguistic Summaries
      Iliana Pérez Pupo, Pedro Y. Piñero Pérez, Roberto García Vacacela, Rafael Bello, Luis Alvarado Acuña
      Pages 365-375
      PDF
    3. Approximate Decision Tree Induction over Approximately Engineered Data Features
      Dominik Ślęzak, Agnieszka Chądzyńska-Krasowska
      Pages 376-384
      PDF
    4. Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets
      Iliana Pérez Pupo, Pedro Y. Piñero Pérez, Rafael Bello, Luis Alvarado Acuña, Roberto García Vacacela
      Pages 385-397
      PDF

  8. Community Detection

    1. Front Matter
      Pages 399-399
      PDF
    2. Rough Net Approach for Community Detection Analysis in Complex Networks
      Ivett Fuentes, Arian Pina, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof
      Pages 401-415
      PDF
    3. Overlapping Community Detection Using Multi-objective Approach and Rough Clustering
      Darian Horacio Grass-Boada, Airel Pérez-Suárez, Leticia Arco, Rafael Bello, Alejandro Rosete
      Pages 416-431
      PDF
    4. Detecting Overlapping Communities Using Distributed Neighbourhood Threshold in Social Networks
      Rajesh Jaiswal, Sheela Ramanna
      Pages 432-445
      PDF

  9. Fuzzy Cognitive Maps

    1. Front Matter
      Pages 447-447
      PDF
    2. On the Convergence of Input-Output Fuzzy Cognitive Maps
      István Á. Harmati, László T. Kóczy
      Pages 449-461
      PDF
    3. On the Behavior of Fuzzy Grey Cognitive Maps
      Leonardo Concepción, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof
      Pages 462-476
      PDF
    4. A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research
      Jose L. Salmeron, Irina Arévalo
      Pages 477-487
      PDF

  10. Tutorials

    1. Front Matter
      Pages 489-489
      PDF
    2. fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets
      Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
      Pages 491-499
      PDF
    3. Comparative Approaches to Granularity in General Rough Sets
      A. Mani
      Pages 500-517
      PDF
  11. Back Matter
    Pages 519-520
    PDF

About these proceedings

Introduction

The volume LNAI 12179 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2020, which was due to be held in Havana, Cuba, in June 2020. The conference was held virtually due to the COVID-19 pandemic.

The 37 full papers accepted were carefully reviewed and selected from 50 submissions. The papers are grouped in the following topical sections: general rough sets; three-way decision theory; attribute reduction; granular computing; formal concept analysis; data summarization; community detection; fuzzy cognitive maps; tutorials.

Keywords

artificial intelligence attribute reduction computer networks computer systems correlation analysis data mining databases decision tables decision theory fuzzy logic fuzzy sets graph theory information systems knowledge reduction machine learning network protocols rough set theory signal detection signal processing theoretical computer science

Editors and affiliations

  1. 1.Department of Computer ScienceUniversidad Central de Las VillasSanta ClaraCuba
  2. 2.Department of Computer Science and TechnologyTongji UniversityShanghaiChina
  3. 3.School of Electrical Engineering and Computer ScienceUniversity of OttawaOttawaCanada
  4. 4.Department of Management and Information ScienceJosai International UniversityToganeJapan
  5. 5.Departamento de Inteligencia Artificial e Infraestructura de Sistemas InformáticosUniversidad Tecnológica de La Habana “José Antonio Echeverría” (CUJAE)HavanaCuba
  6. 6.Department of Informatics, Systems and CommunicationUniversità degli Studi di Milano-BicoccaMilanItaly

Bibliographic information