In this paper, we have shown that the fuzzy-rough set attribute reduction algorithm [Jenson, R., Shen, Q., 2002. Fuzzy-rough sets for descriptive dimensionality reduction. In: Proceedings of IEEE International Conference on Fuzzy Systems, FUZZ-IEEE'02, May 12-17, pp. 29-34] is not convergent on many real datasets due to its poorly designed termination criteria; and the computational complexity ...

World Wide Web has become the largest pool of knowledge in terms volume, but web users still continue to have difficulty finding relevant information. Two issues influence output information retrieval (IR) systems: first, overload and second, vagueness imprecision document representations as well user need. Rough set theory (RST) proved successful tackling ambiguous, uncertain, imprecise, or in...

The main objective of this special issue is to present readers with the significantly extended and improved versions of the articles presented at the International Conference on Rough Sets, Fuzzy Sets, and Granular Computing (RSFDGrC’05) held in Regina, Canada in September 2005. In the standard rough set model, the lower and upper approximations are defined based on the two extreme cases (full ...