Abstract: Attribute reduction of information system is one of the most important applications of rough set theory. This paper focuses on generalized decision system and aims at studying positive region reduction and distribution reduction based on generalized indiscernibility relation. The judgment theorems for attribute reductions and attribute reduction approaches are presented. Our approaches improved the existed discernibility matrix and discernibility conditions. Furthermore, the reduction algorithms based on discernible degree are proposed.

Bi-Jun REN, Yan-Ling FU and Ke-Yun QIN, “Attribute Reduction for Generalized Decision Systems*” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(3), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040303

@article{REN2015,
title = {Attribute Reduction for Generalized Decision Systems*},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040303},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040303},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {3},
author = {Bi-Jun REN and Yan-Ling FU and Ke-Yun QIN}
}