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
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.