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Distance: A more comprehensible perspective for measures in rough set theory
2012
Knowledge-Based Systems
Distance provides a comprehensible perspective for characterizing the difference between two objects in a metric space. There are many measures which have been proposed and applied for various targets in rough set theory. In this study, through introducing set distance and partition distance to rough set theory, we investigate how to understand measures from rough set theory in the viewpoint of distance, which are inclusion degree, accuracy measure, rough measure, approximation quality,
doi:10.1016/j.knosys.2011.11.003
fatcat:u6k4rwjtrbfzfjmvzd6hdaoilm