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J. G. Bazan, “A Comparison of Dynamic and Non-Dynamic Rough Set Methods for Extracting Laws from Decision Tables,” In: L. Polkowski and A. Skowron, Eds., Rough Sets in Knowledge Discovery, Vol. 1, Physica Ver- lag, Heidelberg, 1998, pp. 321-365.

has been cited by the following article:

• TITLE: Rough Mereology as a Tool for Knowledge Discovery and Reasoning in Intelligent Systems: A Survey

  AUTHORS: Lech Polkowski

  KEYWORDS: Knowledge Engineering; Rough Mereology; Granular Computing; Data Mining; Intelligent Robotics

  JOURNAL NAME: International Journal of Intelligence Science, Vol.3 No.1A, March 29, 2013

  ABSTRACT: In this work, we present an account of our recent results on applications of rough mereology to problems of 1) knowledge granulation; 2) granular preprocessing in knowledge discovery by means of decision rules; 3) spatial reasoning in multi-agent systems in exemplary case of intelligent mobile robotics.