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Rough Sets

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Rafael Bello

    1. Department of Computer Science, Universidad Central de Las Villas, Santa Clara, Cuba

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  2. Duoqian Miao

    1. Department of Computer Science and Technology, Tongji University, Shanghai, China

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  3. Rafael Falcon

    1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

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  4. Michinori Nakata

    1. Department of Management and Information Science, Josai International University, Togane, Japan

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  5. Alejandro Rosete

    1. Departamento de Inteligencia Artificial e Infraestructura de Sistemas Informáticos, Universidad Tecnológica de La Habana “José Antonio Echeverría” (CUJAE), Havana, Cuba

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  6. Davide Ciucci

    1. Department of Informatics, Systems and Communication, Università degli Studi di Milano-Bicocca, Milan, Italy

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: IJCRS 2020.

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Table of contents (37 papers)

  1. Front Matter

    Pages i-xiv
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  2. General Rough Sets

    1. Front Matter

      Pages 1-1
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    2. Rough Forgetting

      • Patrick Doherty, Andrzej Szałas
      Pages 3-18

    3. Functional Extensions of Knowledge Representation in General Rough Sets

      • A. Mani
      Pages 19-34

    4. Similarity Based Granules

      • Dávid Nagy, Tamás Mihálydeák, Tamás Kádek
      Pages 35-47

    5. Approximate Reaction Systems Based on Rough Set Theory

      • Andrea Campagner, Davide Ciucci, Valentina Dorigatti
      Pages 48-60

    6. Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning

      • Zbigniew Suraj, Aboul Ella Hassanien, Sibasis Bandyopadhyay
      Pages 61-77

    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

  3. Three-Way Decision Theory

    1. Front Matter

      Pages 93-93
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    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

    3. A Graph-Based Keyphrase Extraction Model with Three-Way Decision

      • Tianlei Chen, Duoqian Miao, Yuebing Zhang
      Pages 111-121

    4. Modeling Use-Oriented Attribute Importance with the Three-Way Decision Theory

      • Xin Cui, JingTao Yao, Yiyu Yao
      Pages 122-136

    5. Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review

      • Andrea Campagner, Federico Cabitza, Davide Ciucci
      Pages 137-152

    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

  4. Attribute Reduction

    1. Front Matter

      Pages 167-167
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    2. Quick Maximum Distribution Reduction in Inconsistent Decision Tables

      • Baizhen Li, Wei Chen, Zhihua Wei, Hongyun Zhang, Nan Zhang, Lijun Sun
      Pages 169-182

    3. Attribute Reduction from Closure Operators and Matroids in Rough Set Theory

      • Mauricio Restrepo, Chris Cornelis
      Pages 183-192

    4. The Reduct of a Fuzzy \(\beta \)-Covering

      • Lingling Mao, Jingqian Wang, Peiqiu Yu
      Pages 193-203

    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

    6. On Positive-Correlation-Promoting Reducts

      • Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Ślęzak
      Pages 213-221
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Other volumes

  1. Rough Sets

Keywords

About this book

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.

Editors and Affiliations

  • Department of Computer Science, Universidad Central de Las Villas, Santa Clara, Cuba

    Rafael Bello

  • Department of Computer Science and Technology, Tongji University, Shanghai, China

    Duoqian Miao

  • School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

    Rafael Falcon

  • Department of Management and Information Science, Josai International University, Togane, Japan

    Michinori Nakata

  • Departamento de Inteligencia Artificial e Infraestructura de Sistemas Informáticos, Universidad Tecnológica de La Habana “José Antonio Echeverría” (CUJAE), Havana, Cuba

    Alejandro Rosete

  • Department of Informatics, Systems and Communication, Università degli Studi di Milano-Bicocca, Milan, Italy

    Davide Ciucci

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