Introduction to special issues on data mining and granular computing

摘要

Though the term granular computing has emerged relatively recent, its basic notions and principles have in fact been appeared, though under different names, in many related fields, such as programming, artificial intelligence, divide and conquer, interval computing, quantization, data compression, chunking, cluster analysis, fuzzy and rough set theories, quotient space theory, belief functions, machine learning, databases, and many others. In the past few years, we have witnessed a renewed and fast growing interest on systematic development of Granular Computing (GrC). Many applications of granular computing, including rough set theory, have appeared in fields, such as data mining, data security, medicine, economics, finance, business, environment, electrical and computer engineering, a number of sciences, software engineering, and information science.