A cautious ranking methodology with its application for stock screening.

Applied Soft Computing(2018)

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摘要
•A cautious ranking methodology is built, which involves data representation, feature selection and ranking mechanism.•The form of interval data is introduced for reflecting the fluctuation of indicators.•An ordered-relevance-preserving feature selection method is constructed in a systematic ranking methodology.•Case studies show that the proposed systematic approach is efficient and effective.•This study provides a new view and thinking for ranking decision.
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关键词
Interval data,Ranking decision,Rough sets,Information entropy,Stock screening
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