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Rough Sets

International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. JingTao Yao

    1. University of Regina, Regina, Canada

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  2. Hamido Fujita

    1. Iwate Prefectural University, Takizawa, Japan

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  3. Xiaodong Yue

    1. Shanghai University, Shanghai, China

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  4. Duoqian Miao

    1. Tongji University, Shanghai, China

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  5. Jerzy Grzymala-Busse

    1. University of Kansas, Lawrence, USA

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  6. Fanzhang Li

    1. Soochow University, Suzhou, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13633)

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

Included in the following conference series:

Conference proceedings info: IJCRS 2022.

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About this book

This book constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2022, held in Suzhou, China, in November 2022. 

The 28 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Invited papers, IRSS President Forum; rough set theory and applications; granular computing and applications; classification and deep learning; conceptual knowledge discovery and machine learning based on three-way decisions and granular computing; uncertainty in three-way decisions; granular computing, and data science.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xxiii
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  2. Invited Papers, IRSS President Forum

    1. Front Matter

      Pages 1-1
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    2. Orthopartitions in Knowledge Representation and Machine Learning

      • Davide Ciucci, Stefania Boffa, Andrea Campagner
      Pages 3-18

    3. Rough Sets and Fuzzy Sets in Interactive Granular Computing

      • Andrzej Skowron, Soma Dutta
      Pages 19-29

    4. MGCC: Multi-Granularity Cognitive Computing

      • Guoyin Wang
      Pages 30-38

    5. Three-way Decision, Three-World Conception, and Explainable AI

      • Yiyu Yao
      Pages 39-53

  3. Rough Set Theory and Applications

    1. Front Matter

      Pages 55-55
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    2. Scikit-Weak: A Python Library for Weakly Supervised Machine Learning

      • Andrea Campagner, Julian Lienen, Eyke Hüllermeier, Davide Ciucci
      Pages 57-70

    3. Applying Rough Set Theory for Digital Forensics Evidence Analysis

      • Khushi Gupta, Razaq Jinad, Zhou Bing
      Pages 71-84

    4. Binary Boundaries and Power Set Space of Graded Rough Sets and Their Correlative ECG (Electrocardiogram) Data Analysis

      • Qian Wang, Xiaoxue Wang, Xianyong Zhang
      Pages 85-99

    5. Neighborhood Approximate Reducts-Based Ensemble Learning Algorithm and Its Application in Software Defect Prediction

      • Zhiyong Yang, Junwei Du, Qiang Hu, Feng Jiang
      Pages 100-113

  4. Granular Computing and Applications

    1. Front Matter

      Pages 115-115
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    2. USV Path Planning Based on Adaptive Fuzzy Reward

      • Zhenhua Duan, Guoyin Wang, Qun Liu, Yan Shi
      Pages 117-131

    3. A Naive Bayes Classifier Based on Neighborhood Granulation

      • Xingyu Fu, Yingyue Chen, Zhiyuan Yao, Yumin Chen, Nianfeng Zeng
      Pages 132-142

    4. Matrix Representations and Interdependency on an L-fuzzy Covering-Based Rough Set

      • Wei Li, Bin Yang
      Pages 143-157

  5. Classification and Deep Learning

    1. Front Matter

      Pages 159-159
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    2. Uncertainty-Aware Deep Open-Set Object Detection

      • Qi Hang, Zihao Li, Yudi Dong, Xiaodong Yue
      Pages 161-175

    3. Rule Acquisition in Generalized One-Sided Decision Systems

      • Zhiyong Hu, Mingwen Shao, Meishe Liang
      Pages 176-190

    4. Density Peak Clustering Based Split-and-Merge

      • Jixiang Lu, Caiming Zhong
      Pages 191-202

    5. Multi-label Feature Extraction With Distance-Based Graph Attention Network

      • Yue Peng, Kun Qian, Guojie Song, Fan Min
      Pages 203-216
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Other volumes

  1. Rough Sets

Editors and Affiliations

  • University of Regina, Regina, Canada

    JingTao Yao

  • Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  • Shanghai University, Shanghai, China

    Xiaodong Yue

  • Tongji University, Shanghai, China

    Duoqian Miao

  • University of Kansas, Lawrence, USA

    Jerzy Grzymala-Busse

  • Soochow University, Suzhou, China

    Fanzhang Li

Bibliographic Information

  • Book Title: Rough Sets

  • Book Subtitle: International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings

  • Editors: JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy Grzymala-Busse, Fanzhang Li

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-21244-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-21243-7Published: 12 November 2022

  • eBook ISBN: 978-3-031-21244-4Published: 10 November 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIII, 432

  • Number of Illustrations: 35 b/w illustrations, 60 illustrations in colour

  • Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Computer Appl. in Social and Behavioral Sciences

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