Title :
Optimizing Gini coefficient of probabilistic rough set regions using Game-Theoretic Rough Sets
Author_Institution :
Dept. of Comput. Sci., Univ. of Regina, Regina, SK, Canada
Abstract :
Probabilistic rough sets define positive, negative and boundary regions, and the probabilistic thresholds determine the Gini coefficient of three regions. We use Game-Theoretic Rough Sets to investigate the relationship between changes in probabilistic thresholds and their impacts on the Gini coefficient of rough set regions. The example shows that effective probabilistic thresholds values corresponding to applicable Gini coefficient of probabilistic regions can be derived by repeatedly tuning the thresholds values.
Keywords :
game theory; probability; rough set theory; Gini coefficient; boundary region; game-theoretic rough set; negative region; positive region; probabilistic rough set region; probabilistic threshold; thresholds value; Approximation methods; Equations; Games; Mathematical model; Probabilistic logic; Rough sets; Uncertainty; Game-Theoretic Rough set; Gini coefficient; Probabilistic Rough Set;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
Conference_Location :
Regina, SK
Print_ISBN :
978-1-4799-0031-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2013.6567817
