Granular Computing

TC Leadership

Shusaku Tsumoto

TC Co-Chair

Shusaku Tsumoto (Email)
Shimane University, Japan

Shiyue-Liang Wang

TC Co-Chair

Shiyue-Liang Wang (Email)
National University of Kaohsiung, Taiwan

Tzung-Pei Hong

TC Co-Chair

Tzung-Pei Hong (Email)
National University of Kaohsiung, Taiwan


Our Goal

Granular Computing (GrC) is a general computation theory for effectively using granules such as classes, clusters, subsets, groups, and intervals to build an efficient computational model for complex applications with huge amounts of data, information, and knowledge. The goal of the technical committee is to provide a forum to help establish the core ideas and develop the approaches of GrC. Particularly, the concrete goals of the TC include the following:

  • to give deep understanding of human cognition from the viewpoint of granular computing
  • to give theoretical foundations of reasoning with information granularities
  • to promote the GrC area for applications
  • to give special opportunities for researchers on granular computing and other areas to exchange their idea

Members

  • Mehmet Emin Aydin, University of the West of England, UK
  • Andrzej Bargiela, University of Nottingham, UK
  • Mokhtar Beldjehem, Sainte-Anne’s University, Canada
  • Kit Yan Chan, Curtin University, Australia
  • Chun-Hao Chen, Tamkang University, Taiwan
  • Ping-Tsai Chung, Long Island University, USA
  • Yutaka Hata, University of Hyogo, Japan
  • Xiaohua Hu, Drexel University, USA
  • Churn-Jung Liau, Academia Sinica, Taiwan
  • Jerry Chun-Wei Lin, Harbin Institute of Technology Shenzhen Graduate School, China
  • Tsau-Young Lin, San Jose State University, USA
  • Wen-Yang Lin, National University of Kaohsiung, Taiwan
  • Pawan Lingras, St. Mary University, Canada
  • Hiroshi Nakajima, OMRON, Japan
  • Lech Polkowski, Polish Japanese Institute of Computer Techniques, Poland
  • Huseyin Seker, The University of Northumbria at Newcastle, UK
  • Guoyin Wang, Southwest Jiaotong University, China
  • Jingtao Yao, University of Regina, Canada
  • Yiyu Yao, University of Regina, Canada
  • Kun-Ming Yu, Chung Hua University, Taiwan
  • Lotfi A Zadeh, University of California, Berkeley, USA

Recent Activities

2016

  • Organizing special sessions on granular computing at IEEE SMC 2016, Hungary.
  • Organizing special sessions on granular computing at IEEE Big Data 2016, USA.
  • Technically supporting The Third Multidisciplinary International Social Networks Conference (MISNC), 2016, USA.
  • Technically supporting The Seventh ASE International Conference on Data Science, 2016, USA.
  • Co-editing a special issue on granular/symbolic data processing in IEEE Transactions on Cybernetics, Vol. 46, No. 2, 2016.

2017

  • Organizing special sessions on granular computing at IEEE CYBCONF 2017, UK.
  • Organizing special sessions on granular computing at IEEE SMC 2017, Canada.
  • Organizing special sessions on granular computing at IEEE Big Data 2017.
  • Technically supporting MISNC 2017, Thailand.
  • Co-editing a special issue on intelligent analysis for big data and social informatics in Intelligent Data Analysis, 2017.
  • Co-editing a special issue on soft computing for big data and social informatics in Soft Computing, 2017.

Join Us

Though the field is relatively new, the basic notions and principles of granular computing have appeared in many related fields, such as information hiding in programming, granularity in artificial intelligence, divide and conquer in theoretical computer science, interval computing, cluster analysis, fuzzy and rough set theories, neutrosophic computing, quotient space theory, belief functions, machine learning, databases, and many others. We welcome anyone who is interested in this field to join us. Through this TC, we will share and discuss new results in research, development and applications of granular computing and promote an exchange of ideas and cooperation. If you would like to join, please contact the TC chairs.


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