Rough Sets and Higher Order Vagueness

Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in searching for concept approximation is emphasized. Boundary regions of approximated concepts within the adaptive learning framework are satisfying the higher order vagueness condition, i.e., the boundary regions of vague concepts are not crisp. There are important consequences of the presented framework for research on adaptive approximation of vague concepts and reasoning about approximated concepts. An illustrative example is included showing the application of Boolean reasoning in adaptive learning.

• Type: Conference
• Year: 2005
• Where: RSFDGRC
• Authors: Andrzej Skowron, Roman W. Swiniarski
• Keywords: Adaptive Learning, Adaptive Learning Framework, RSFDGRC 2005, Vague Concepts