L. Polkowski, “Granulation of Knowledge in Decision Systems: The Approach Based on Rough Inclusions. The Method and its Applications,” Proceedings RSEISP 07, Rough Sets and Intelligent Systems Paradigms, Lecture Notes in Artificial Intelligence 4585, Springer Verlag, Berlin, 2007, pp. 271-279.

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.