粒度计算研究综述

粒度计算GrC（Granular Computing）是信息处理的一种新的概念和计算范式,覆盖了所有有关粒度的理论、方法、技术和工具的研究.它是词计算理论、粗糙集理论、商空间理论、区间计算等的超集,也是软计算科学的一个分支,已成为模糊的、不完整的、不精确的及海量的信息处理的重要工具和人工智能研究领域的热点之一.本文综述了粒度计算的发展动机、研究现状及发展趋势,着重介绍了粒度计算的主要理论模型与方法及其在不同领域的应用,对存在的问题进行了分析,并提出了进一步研究的方向.

An Overview of Granular Computing

Granular Computing(GrC) is an emerging conceptual and computing par information processing. Just as a great umbrella, it may be regarded as a label of theories, methodologies, techniques, and tools that make use of gran- ules, i. e., groups, classes, or clusters of a universe. "GrC" is a superset of the theory of fuzzy information granula- tion, rough set theory, the theory of the quotient space and Interval computing etc, which is a branch of granular math- ematics. It plays an important role in information processing for fuzzy, uncertainty, partial truth and soft computing and is one of the main study stream in A I. This paper summarizes the developed motivations and the research status quo of GrC, lays stress on the introduction of main theoretic models and approaches, then explores applications for va- rious fields using GrC. Finally, we analyze existing problems about Granular Computing and propose the further inves- tigation objects.