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Luckily, there is already a rough set of guidelines in place for making these sorts of loan-modification decisions, thanks to the Hope Now Alliance, a joint effort of the Treasury, the Department of Housing and Urban Development and private lenders.
Using a Rough Set Approach they report classification accuracies of 95%.
This work proposes a rough set based QFD approach to manage the aforementioned imprecise design information in product development.
Misinem proposed a rough set outlier detection strategy based on PSO, which is to find minimum non-reduct [58].
This study proposes a rough set based association rule approach for customer preference analysis that is developed from analytic hierarchy process (AHP) ordinal data scale processing.
Based on analysis of some extended rough set models in incomplete information systems, a rough set model based on the θ-improved limited tolerance relation is put forward.
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This paper presents a rough set-based prototype system that aims at ranking the possible faults for fault diagnosis.
Lingras and West [20] introduced a rough set-inspired clustering algorithm based on the well-known c-means algorithm.
This study presents a rough set-based approach used to estimate the correlation measures by revealing the knowledge of a QFD team.
Furthermore, some ad hoc approaches based on undersampling and oversampling have been also developed, including evolutionary undersampling, a rough set-based SMOTE, and an ensemble algorithm.
Olusola et al. [28] proposed a rough set-based feature selection method that selects important features from an input data using KDD '99 dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com