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» Rough Set Approximation Based on Dynamic Granulation
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CIT
2007
Springer
14 years 2 months ago
Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
Sriparna Saha, Sanghamitra Bandyopadhyay
RSCTC
2000
Springer
146views Fuzzy Logic» more  RSCTC 2000»
14 years 5 days ago
Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts
Abstract. We provide the unified methodology for searching for approximate decision reducts based on rough membership distributions. Presented study generalizes well known relation...
Maciej Borkowski, Dominik Slezak
RSKT
2010
Springer
13 years 7 months ago
Ordered Weighted Average Based Fuzzy Rough Sets
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...
Chris Cornelis, Nele Verbiest, Richard Jensen
RSCTC
2004
Springer
134views Fuzzy Logic» more  RSCTC 2004»
14 years 1 months ago
Rough Set Methods in Approximation of Hierarchical Concepts
Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
Jan G. Bazan, Sinh Hoa Nguyen, Hung Son Nguyen, An...
FSS
2007
176views more  FSS 2007»
13 years 8 months ago
Set approximations in fuzzy formal concept analysis
Formal concept analysis and rough set theory are two important tools in knowledge representation and knowledge discovery in relational information systems. The purpose of this pap...
Ming-Wen Shao, Min Liu, Wen-Xiu Zhang