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» A new extension of fuzzy sets using rough sets: R-fuzzy sets
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RSFDGRC
2009
Springer
14 years 24 days ago
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
Abstract. Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various ...
Qiang Shen
RSCTC
2000
Springer
143views Fuzzy Logic» more  RSCTC 2000»
13 years 9 months ago
Rough Sets for Uncertainty Reasoning
Abstract. Rough sets have traditionally been applied to decision (classification) problems. We suggest that rough sets are even better suited for reasoning. It has already been sho...
S. K. Michael Wong, Cory J. Butz
IJAR
2006
197views more  IJAR 2006»
13 years 6 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
RSCTC
2000
Springer
197views Fuzzy Logic» more  RSCTC 2000»
13 years 9 months ago
Rough Set Approach to CBR
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
Jan Wierzbicki
RSKT
2007
Springer
14 years 11 days ago
Decision-Theoretic Rough Set Models
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
Yiyu Yao