Stochastic dominance-based rough set model for ordinal classification
نویسندگان
چکیده
منابع مشابه
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has been introduced to deal with the problem of ordinal classification with monotonicity constraints (also referred to as multicriteria classification in decision analysis). However, in real-life problems, in the presence...
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Dominance-based Rough set Approach (DRSA) has been proposed by Greco, Matarazzo and SS lowi´nski (see e.g. [6, 8–10, 15]) to deal with ordinal data. Data are ordinal when value sets of attributes describing objects of a universe are ordered. There are various reasons for taking into account the order in data analysis. The ordering of data concerning decision problems is naturally related to pre...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2008
ISSN: 0020-0255
DOI: 10.1016/j.ins.2008.06.013