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ISCI
2008
181views more  ISCI 2008»
13 years 5 months ago
Attribute reduction in decision-theoretic rough set models
Rough set theory can be applied to rule induction. There are two different types of classification rules, positive and boundary rules, leading to different decisions and consequen...
Yiyu Yao, Yan Zhao
ISMVL
2009
IEEE
161views Hardware» more  ISMVL 2009»
14 years 12 days ago
Mining Approximative Descriptions of Sets Using Rough Sets
Using concepts from rough set theory we investigate the existence of approximative descriptions of collections of objects that can be extracted from data sets, a problem of intere...
Dan A. Simovici, Selim Mimaroglu
RSKT
2007
Springer
13 years 12 months ago
Optimized Generalized Decision in Dominance-Based Rough Set Approach
Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance princ...
Krzysztof Dembczynski, Salvatore Greco, Wojciech K...
GRC
2008
IEEE
13 years 6 months ago
Fuzzy Preference Relation Rough Sets
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing e...
Qinghua Hu, Daren Yu, Congxin Wu
RSFDGRC
2009
Springer
14 years 9 days ago
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
Abstract. Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various ...
Qiang Shen