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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Yiyu Yao

    1. University of Regina, Regina, Canada

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  2. Qinghua Hu

    1. Tianjin University, Tianjin, China

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  3. Hong Yu

    1. Chongqing University of Posts and Telecommunications, Chongqing, China

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  4. Jerzy W. Grzymala-Busse

    1. University of Kansas, Lawrence, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9437)

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

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Table of contents (45 papers)

  1. Rough and Fuzzy Hybridization

    1. Dynamic Maintenance of Rough Fuzzy Approximations with the Variation of Objects and Attributes

      • Yanyong Huang, Tianrui Li, Shi-jinn Horng
      Pages 173-184

    2. Semi-Supervised Fuzzy-Rough Feature Selection

      • Richard Jensen, Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
      Pages 185-195

    3. Modified Generalised Fuzzy Petri Nets for Rule-Based Systems

      • Zbigniew Suraj
      Pages 196-206

    4. Fuzzy Rough Decision Trees for Multi-label Classification

      • Xiaoxue Wang, Shuang An, Hong Shi, Qinghua Hu
      Pages 207-217

    5. Axiomatic Characterizations of Reflexive and \(\mathcal {T}\)-Transitive \(\mathcal {I}\)-Intuitionistic Fuzzy Rough Approximation Operators

      • Wei-Zhi Wu, You-Hong Xu, Tong-Jun Li, Xia Wang
      Pages 218-229

  2. Granular Computing

    1. Front Matter

      Pages 231-231
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    2. Knowledge Supported Refinements for Rough Granular Computing: A Case of Life Insurance Industry

      • Kao-Yi Shen, Gwo-Hshiung Tzeng
      Pages 233-244

    3. Building Granular Systems - from Concepts to Applications

      • Marcin Szczuka, Andrzej Jankowski, Andrzej Skowron, Dominik ÅšlÄ™zak
      Pages 245-255

    4. The Rough Granular Approach to Classifier Synthesis by Means of SVM

      • Jacek Szypulski, Piotr Artiemjew
      Pages 256-263

  3. Data Mining and Machine Learning

    1. Front Matter

      Pages 265-265
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    2. The Boosting and Bootstrap Ensemble for Classifiers Based on Weak Rough Inclusions

      • Piotr Artiemjew
      Pages 267-277

    3. Extraction of Off-Line Handwritten Characters Based on a Soft K-Segments for Principal Curves

      • Na Jiao
      Pages 278-285

    4. A Knowledge Acquisition Model Based on Formal Concept Analysis in Complex Information Systems

      • Xiangping Kang, Duoqian Miao, Na Jiao
      Pages 286-297

    5. The Borda Count, the Intersection and the Highest Rank Method in a Dispersed Decision-Making System

      • MaÅ‚gorzata PrzybyÅ‚a-Kasperek
      Pages 298-309

    6. An Ensemble Learning Approach Based on Missing-Valued Tables

      • Seiki Ubukata, Taro Miyazaki, Akira Notsu, Katsuhiro Honda, Masahiro Inuiguchi
      Pages 310-321

    7. Multiple-Side Multiple-Learner for Incomplete Data Classification

      • Yuan-ting Yan, Yan-Ping Zhang, Xiu-Quan Du
      Pages 322-331

    8. Sparse Matrix Feature Selection in Multi-label Learning

      • Wenyuan Yang, Bufang Zhou, William Zhu
      Pages 332-339

    9. A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm

      • Weibin Zhao, Mengting Xu, Xiuyi Jia, Lin Shang
      Pages 340-351

  4. Three-Way Decisions

    1. Front Matter

      Pages 353-353
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    2. Region Vector Based Attribute Reducts in Decision-Theoretic Rough Sets

      • Guoshun Huang, Yiyu Yao
      Pages 355-365
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Keywords

About this book

This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, held in Tianjin, China in November 2015 as one of the co-located conference of the 2015 Joint Rough Set Symposium, JRS 2015.

The 44 papers were carefully reviewed and selected from 97 submissions. The papers in this volume cover topics such as rough sets: the experts speak; generalized rough sets; rough sets and graphs; rough and fuzzy hybridization; granular computing; data mining and machine learning; three-way decisions; IJCRS 2015 data challenge.

Editors and Affiliations

  • University of Regina, Regina, Canada

    Yiyu Yao

  • Tianjin University, Tianjin, China

    Qinghua Hu

  • Chongqing University of Posts and Telecommunications, Chongqing, China

    Hong Yu

  • University of Kansas, Lawrence, USA

    Jerzy W. Grzymala-Busse

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