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» A Comparative Study of Fuzzy Sets and Rough Sets
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FUZZIEEE
2007
IEEE
15 years 1 months ago
A Vector Similarity Measure for Interval Type-2 Fuzzy Sets
Fuzzy logic is frequently used in computing with words (CWW). When input words to a CWW engine are modeled by interval type-2 fuzzy sets (IT2 FSs), the CWW engine's output can...
Dongrui Wu, Jerry M. Mendel
FUZZIEEE
2007
IEEE
15 years 3 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen
PR
2000
116views more  PR 2000»
14 years 9 months ago
On links between mathematical morphology and rough sets
Based on the observation that rough sets and mathematical morphology are both using dual operators sharing similar properties, we investigate more closely the links existing betwe...
Isabelle Bloch
RSCTC
2000
Springer
147views Fuzzy Logic» more  RSCTC 2000»
15 years 1 months ago
Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
James F. Peters, Andrzej Skowron, Liting Han, Shee...
88
Voted
RSKT
2010
Springer
14 years 8 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