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» A new extension of fuzzy sets using rough sets: R-fuzzy sets
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RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
14 years 26 days ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
URBAN
2008
128views more  URBAN 2008»
13 years 7 months ago
Discerning landslide susceptibility using rough sets
Rough set theory has been primarily known as a mathematical approach for analysis of a vague description of objects. This paper explores the use of rough set theory to manage the ...
Pece V. Gorsevski, Piotr Jankowski
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 8 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
TFS
2008
190views more  TFS 2008»
13 years 6 months ago
A Fast Geometric Method for Defuzzification of Type-2 Fuzzy Sets
Generalised type-2 fuzzy logic systems can not currently be used for practical problems because the amount of computation required to defuzzify a generalised type-2 fuzzy set is to...
Simon Coupland, Robert John
IEAAIE
1999
Springer
13 years 11 months ago
Modelling Fuzzy Sets Using Object-Oriented Techniques
This paper describes a new approach to model fuzzy sets using object-oriented programming techniques. Currently, the most frequently used method to model fuzzy sets is by using a p...
Gary Yat Chung Wong, Hon Wai Chun