T. Y. Lin, Y. Y. Yao and L. A. Zadeh, “Data Mining, Rough Sets and Granular Computing (Studies in Fuzziness and Soft Computing),” Physica-Verlag, Heidelberg ,2002.doi:10.1007/978-3-7908-1791-1

has been cited by the following article:

• TITLE: New Topological Approaches for Data Granulation

  AUTHORS: A. S. Salama, O. G. Elbarbary

  KEYWORDS: Knowledge Granulation; Topological Spaces; Rough Sets; Data Mining; Decision Making; Fuzzy Sets

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.7B, October 23, 2013

  ABSTRACT: Data granulation is a good tool of decision making in various types of real life applications. The basic ideas of data granulation have appeared in many fields, such as interval analysis, quantization, rough set theory, Dempster-Shafer theory of belief functions, divide and conquer, cluster analysis, machine learning, databases, information retrieval, and many others. In this paper, we initiate some new topological tools for data granulation using rough set approximations. Moreover, we define some topological measures of data granulation in topological I formation systems. Topological generalizations using δβ-open sets and their applications of information granulation are developed.