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» Approximate Reasoning in MAS: Rough Set Approach
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FUZZIEEE
2007
IEEE
16 years 8 days ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen
JANCL
2006
123views more  JANCL 2006»
15 years 5 months ago
Approximate databases: a support tool for approximate reasoning
This paper describes an experimental platform for approximate knowledge databases called the Approximate Knowledge Database (AKDB), based on a semantics inspired by rough sets. The...
Patrick Doherty, Martin Magnusson, Andrzej Szalas
ICCBR
2003
Springer
15 years 11 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes
IEEECIT
2006
IEEE
15 years 12 months ago
A Service Retrieval Model with Enhanced Dominance-Based Rough Sets
As an important part of service-oriented software engineering, service retrieval receives much attention from industry and academia, but which still leaves much to be expected: ho...
Bin Tang, Leqiu Qian, Ruzhi Xu, Yunjiao Xue, Hui T...
RSKT
2009
Springer
16 years 14 days ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao