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» A Comparative Study of Fuzzy Sets and Rough Sets
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GRC
2005
IEEE
15 years 3 months ago
Improved rule based rough set approach for target recognition
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. We compare the new approach with our previous nonincremental a...
Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan
80
Voted
ISMIS
2003
Springer
15 years 2 months ago
Granular Computing Based on Rough Sets, Quotient Space Theory, and Belief Functions
Abstract. A model of granular computing (GrC) is proposed by reformulating, re-interpreting, and combining results from rough sets, quotient space theory, and belief functions. Two...
Y. Y. Yao, Churn-Jung Liau, Ning Zhong
FSS
2010
97views more  FSS 2010»
14 years 8 months ago
An early approach toward graded identity and graded membership in set theory
The paper considers an early approach toward a (fuzzy) set theory with a graded membership predicate and a graded equality relation which had been developed by the German mathemat...
Siegfried Gottwald
85
Voted
RSEISP
2007
Springer
15 years 3 months ago
Rough Sets and Approximation Schemes
Abstract. Approximate reasoning is used in a variety of reasoning tasks in Logicbased Artificial Intelligence. In this abstract we compare a number of such reasoning schemes and s...
Victor W. Marek, Miroslaw Truszczynski
CBMS
2009
IEEE
15 years 4 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...