Title :
Some topological and measure properties of rough sets
Author :
Qun-Feng Zhang ; Tian-Yi Zhang
Author_Institution :
Sch. Of Math. & Comput. Sci., Hebei Univ., Baoding, China
Abstract :
Since rough set theory was proposed by Pawlak in 1982, it has been investigated extensively and applied in a wide range of research fields such as machine learning and data mining. However, the pure mathematical explorations of rough sets have not been paid sufficient attention. This paper explores rough set theory from the point of view of topology and measure theory, and proves a few propositions about its properties.
Keywords :
rough set theory; topology; data mining; machine learning; measure property; rough set theory; topological property; Abstracts; Decision system; Measure; Reducts; Rough sets; Topology;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009713
