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» A Dependent Set Theory
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GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 9 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
ISMIS
2003
Springer
14 years 1 months ago
Granular Computing Based on Rough Sets, Quotient Space Theory, and Belief Functions
Abstract. A model of granular computing (GrC) is proposed by reformulating, re-interpreting, and combining results from rough sets, quotient space theory, and belief functions. Two...
Y. Y. Yao, Churn-Jung Liau, Ning Zhong
JELIA
2010
Springer
13 years 6 months ago
Translating First-Order Causal Theories into Answer Set Programming
Abstract. Nonmonotonic causal logic became a basis for the semantics of several expressive action languages. Norman McCain and Paolo Ferraris showed how to embed propositional caus...
Vladimir Lifschitz, Fangkai Yang
SOCO
2008
Springer
13 years 7 months ago
Tabu search for attribute reduction in rough set theory
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has rece...
Abdel-Rahman Hedar, Jue Wang, Masao Fukushima
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
12 years 10 months ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn