Multigranulation decision-theoretic rough sets
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …
[PDF][PDF] Multigranulation decision-theoretic rough sets
Y Qiana, H Zhangb, Y Sangb, J Lianga - International Journal of …, 2014 - iiip.sxu.edu.cn
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …
[PDF][PDF] Multigranulation decision-theoretic rough sets
Y Qiana, H Zhangb, Y Sangb, J Lianga - International Journal of …, 2014 - jiyeliang.net
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …
Multigranulation decision-theoretic rough sets
Y Qian, H Zhang, Y Sang, J Liang - International Journal of Approximate …, 2014 - infona.pl
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …
[PDF][PDF] Multigranulation decision-theoretic rough sets
Y Qiana, H Zhangb, Y Sangb… - International Journal of …, 2014 - cicip.sxu.edu.cn
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …
[PDF][PDF] Multigranulation decision-theoretic rough sets
Y Qiana, H Zhangb, Y Sangb, J Lianga - International Journal of …, 2014 - jiyeliang.net
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …
Multigranulation decision-theoretic rough sets
Y Qian, H Zhang, Y Sang, J Liang - International Journal of Approximate …, 2014 - dl.acm.org
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …
[PDF][PDF] Multigranulation decision-theoretic rough sets
Y Qiana, H Zhangb, Y Sangb… - International Journal of …, 2014 - sxiiplab.sxu.edu.cn
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …
[引用][C] Multigranulation decision-theoretic rough sets
Y QIAN, HU ZHANG, Y SANG… - International journal of …, 2014 - pascal-francis.inist.fr
Multigranulation decision-theoretic rough sets CNRS Inist Pascal-Francis CNRS Pascal and
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[PDF][PDF] Multigranulation decision-theoretic rough sets
Y Qiana, H Zhangb, Y Sangb, J Lianga - jiyeliang.net
The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …
approximations using probabilistic theory, which can interprete the parameters from existing …