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 inKnowledge-based systems Vol. 91; pp. 126 - 142
Main Authors Zhao, Xue Rong, Hu, Bao Qing
Format Journal Article
LanguageEnglish
Published 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.
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
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  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
Language English
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Snippet 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...
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SubjectTerms Fuzzy event
Fuzzy probabilistic rough set
Interval-valued fuzzy event
Interval-valued fuzzy probabilistic rough set
Rough set
Three-way decisions
Title Fuzzy probabilistic rough sets and their corresponding three-way decisions
URI https://dx.doi.org/10.1016/j.knosys.2015.09.018
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