Fuzzy probabilistic rough sets and their corresponding three-way decisions
The concept of probabilistic rough sets, as a main subject of this paper, is intimately connected with the concept of decision-theoretic rough sets. This paper investigates fuzzy and interval-valued fuzzy probabilistic rough sets within frameworks of fuzzy and interval-valued fuzzy probabilistic app...
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Published in | Knowledge-based systems Vol. 91; pp. 126 - 142 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.01.2016
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Abstract | The concept of probabilistic rough sets, as a main subject of this paper, is intimately connected with the concept of decision-theoretic rough sets. This paper investigates fuzzy and interval-valued fuzzy probabilistic rough sets within frameworks of fuzzy and interval-valued fuzzy probabilistic approximation spaces, respectively. Four types of fuzzy probabilistic rough sets as well as interval-valued fuzzy probabilistic rough sets are established in terms of different constraints on parameters. To find a suitable way of explaining and determining these parameters in each model, three-way decisions are studied based on Bayesian minimum risk decision procedure, i.e., the decision-theoretic rough set approach. The proposed models in this paper broaden applications of probabilistic rough sets due to their abilities of directly dealing with real-valued and interval-valued data. |
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AbstractList | The concept of probabilistic rough sets, as a main subject of this paper, is intimately connected with the concept of decision-theoretic rough sets. This paper investigates fuzzy and interval-valued fuzzy probabilistic rough sets within frameworks of fuzzy and interval-valued fuzzy probabilistic approximation spaces, respectively. Four types of fuzzy probabilistic rough sets as well as interval-valued fuzzy probabilistic rough sets are established in terms of different constraints on parameters. To find a suitable way of explaining and determining these parameters in each model, three-way decisions are studied based on Bayesian minimum risk decision procedure, i.e., the decision-theoretic rough set approach. The proposed models in this paper broaden applications of probabilistic rough sets due to their abilities of directly dealing with real-valued and interval-valued data. |
Author | Hu, Bao Qing Zhao, Xue Rong |
Author_xml | – sequence: 1 givenname: Xue Rong surname: Zhao fullname: Zhao, Xue Rong organization: School of Mathematics and Statistics, Wuhan University, Wuhan 430072, PR China – sequence: 2 givenname: Bao Qing orcidid: 0000-0002-3861-4652 surname: Hu fullname: Hu, Bao Qing email: bqhu@whu.edu.cn, bqhujjhe@hotmail.com organization: School of Mathematics and Statistics, Wuhan University, Wuhan 430072, PR China |
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Keywords | Three-way decisions Interval-valued fuzzy probabilistic rough set Fuzzy probabilistic rough set Fuzzy event Interval-valued fuzzy event Rough set |
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