Capturing Uncertainty in Associative Classification Model
This paper aims to propose a weighted linguistic associative classification model for uncertainty data analysis using rough membership function. Transformation of quantitative association rules into linguistic representation can be achieved in discretizing the numerical interval into rough interval...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5341904 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5341904 http://eprints.utem.edu.my/144/1/CapturingUncertaintyInWeightedACModel_DMO09_CYH.pdf |
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