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» A new extension of fuzzy sets using rough sets: R-fuzzy sets
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TFS
2008
117views more  TFS 2008»
13 years 7 months ago
A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering
Abstract--This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzz...
Samia Nefti, Mourad Oussalah, Uzay Kaymak
IBERAMIA
2004
Springer
14 years 23 days ago
Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning
Early work on Case Based Reasoning reported in the literature shows the importance of soft computing techniques applied to different stages of the classical 4-step CBR life cycle. ...
Florentino Fdez-Riverola, Fernando Díaz, Ju...
IWANN
2011
Springer
12 years 10 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
RSKT
2010
Springer
13 years 5 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
ASIAMS
2007
IEEE
14 years 1 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal