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Journal Papers(2014年)
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【 2014】 Multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2014, 55, 225-237Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang
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【 2014】 Topological approach to multigranulation rough sets, International Journal of Machine Learning and Cybernetics, 2014, 5: 233-243Guoping Lin, Jiye Liang, Yuhua Qian
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【 2014】 A rule-extraction framework under multigranulation rough sets, International Journal of Machine Learning and Cybernetics, 2014, 5: 319-326Xin Liu, Yuhua Qian, Jiye Liang
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【 2014】 Pessimistic rough set based decisions: a multigranulation fusion strategy, Information Sciences, 2014, 264, 196-210Yuhua Qian, Shunyong Li, Jiye Liang, Zhongzhi Shi, Feng Wang
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【 2014】 Determining decision maker's weights in group ranking: a granular computing method, International Journal of Machine Learning and Cybernetics, 2014, (In Press)Baoli Wang, Jiye Liang, Yuhua Qian
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【 2014】 Incremental approach to feature selection based on rough set theory, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2) 294-308Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian
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【 2014】 Preorder information based atribute weights learning in mulitattribute decision making, Fundamenta Informaticae, 2014, 132, 331-347Baoli Wang, Jiye Liang, Yuhua Qian
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【 2014】 QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity, Knowledge-Based Systems, 2014, 71, 114-125Yali Lv, Shizhong Liao, Hongbo Shi, Yuhua Qian, Suqin Ji
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【 2014】 Set-based granular computing: a lattice model, International Journal of Approximate Reasoning, 2014, 55, 834-852Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang