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Technical Committee on Granular Computing
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. It demonstrates different levels of abstraction in getting a trade-off between complexity and accuracy. For example, the granulation levels may include value, variable, component, system, concept, or class granulation. Though the label is relatively recent, 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.
The TC was established in 2009. There are currently 19 members from Japan, USA, Canada and Taiwan, among others. Its goal is to provide a forum to help establish the core ideas and develop the approaches of GrC. Especially, the concrete goals of the TC include the following:
1. To give deep understanding of human cognition from the viewpoint of granular computing
2. To give theoretical foundations of reasoning with information granularities
3. To promote GrC area for applications
4. To give special opportunities for researchers on granular computing and other areas to exchange their ideas
The TC keeps a close cooperation relationship with International Granular Computing Society. A regular annual conference, The IEEE International Conference on Granular Computing, is held each year. In addition, the goals for the next five years include recruiting more members, organizing special sessions at SMC and other related conferences, presenting special issues and on GrC in some journals, books and tutorials.
We welcome anyone who is interested in this field to join us. The website is http://www.ieeesmc.org/technicalcommittess/tc_gc.htm. Some of the important papers are:
1. T. Y. Lin, "Granular Computing on Binary Relations I: Data Mining and Neighborhood Systems." In: Rough Sets In Knowledge Discovery, A. Skowron and L. Polkowski (eds), Physica-Verlag, 1998, 107-121.
2. L. Zadeh, "Some reflections on information granulation and its centrality in granular computing, computing with words, the computational theory of perceptions and precisiated natural language," In: Data Mining, Rough Sets and Granular Computing, T. Y. Lin, Y. Y. Yao, L. Zadeh (eds), Physica-Verlag, 2002, 3-20.
3. Bargiela and W. Pedrycz, Granular Computing: An introduction, Kluwer Academic Publishers, 2003.
The TC was established in 2009. There are currently 19 members from Japan, USA, Canada and Taiwan, among others. Its goal is to provide a forum to help establish the core ideas and develop the approaches of GrC. Especially, the concrete goals of the TC include the following:
1. To give deep understanding of human cognition from the viewpoint of granular computing
2. To give theoretical foundations of reasoning with information granularities
3. To promote GrC area for applications
4. To give special opportunities for researchers on granular computing and other areas to exchange their ideas
The TC keeps a close cooperation relationship with International Granular Computing Society. A regular annual conference, The IEEE International Conference on Granular Computing, is held each year. In addition, the goals for the next five years include recruiting more members, organizing special sessions at SMC and other related conferences, presenting special issues and on GrC in some journals, books and tutorials.
We welcome anyone who is interested in this field to join us. The website is http://www.ieeesmc.org/technicalcommittess/tc_gc.htm. Some of the important papers are:
1. T. Y. Lin, "Granular Computing on Binary Relations I: Data Mining and Neighborhood Systems." In: Rough Sets In Knowledge Discovery, A. Skowron and L. Polkowski (eds), Physica-Verlag, 1998, 107-121.
2. L. Zadeh, "Some reflections on information granulation and its centrality in granular computing, computing with words, the computational theory of perceptions and precisiated natural language," In: Data Mining, Rough Sets and Granular Computing, T. Y. Lin, Y. Y. Yao, L. Zadeh (eds), Physica-Verlag, 2002, 3-20.
3. Bargiela and W. Pedrycz, Granular Computing: An introduction, Kluwer Academic Publishers, 2003.