Results 271 to 280 of about 58,797 (306)
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International Journal of Machine Learning and Cybernetics, 2014
We introduce linguistic rough set (LRS) by integrating linguistic quantifiers in the rough set framework. The proposed LRS is inspired by the ways in which humans process imprecise information. It operates directly with the linguistic summaries and caters to imprecision implicit in the real world with partial knowledge.
Manish Agarwal, Themis Palpanas
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We introduce linguistic rough set (LRS) by integrating linguistic quantifiers in the rough set framework. The proposed LRS is inspired by the ways in which humans process imprecise information. It operates directly with the linguistic summaries and caters to imprecision implicit in the real world with partial knowledge.
Manish Agarwal, Themis Palpanas
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2012
There are multiple kinds of data in information systems, e.g., categorical data, numerical data, set-valued data, interval-valued data and missing data. Such information systems are called as composite information systems in this paper. To process such data, composite rough sets are introduced, composite relation is defined and composite classes are ...
Junbo Zhang 0004 +2 more
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There are multiple kinds of data in information systems, e.g., categorical data, numerical data, set-valued data, interval-valued data and missing data. Such information systems are called as composite information systems in this paper. To process such data, composite rough sets are introduced, composite relation is defined and composite classes are ...
Junbo Zhang 0004 +2 more
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, 2007 The connections of vague set and rough set
Kybernetes, 2012PurposeThe purpose of this paper is to present research methods in processing uncertain information.Design/methodology/approachVague set and rough set are both‐wings‐mode for expressing uncertainty systems, and based on the both‐wings‐mode of expressing uncertainty systems, the connections of vague set and rough set are discussed.FindingsThis paper ...
Ruixia Yan +2 more
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On Rough Equalities and Rough Equivalences of Sets
2008The different types of rough equalities [4,5,6] of sets deal with approximate equalities of sets which may not be equal in the usual sense of classical set theory. In this article, we make further study of the properties of rough equalities. A more general kind of equality of sets (we call it rough equivalence) shall be introduced, which captures ...
Bala Krushna Tripathy +2 more
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2007
This paper is devoted to the discussion of extended covering rough set models. Based on the notion of neighborhood, five pairs of dual covering approximation operators were defined with their properties being discussed. The relationships among these operators were investigated.
Keyun Qin, Yan Gao, Zheng Pei 0001
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This paper is devoted to the discussion of extended covering rough set models. Based on the notion of neighborhood, five pairs of dual covering approximation operators were defined with their properties being discussed. The relationships among these operators were investigated.
Keyun Qin, Yan Gao, Zheng Pei 0001
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2005
This article presents some general remarks on rough sets and their place in general picture of research on vagueness and uncertainty – concepts of utmost interest, for many years, for philosophers, mathematicians, logicians and recently also for computer scientists and engineers particularly those working in such areas as AI, computational intelligence,
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This article presents some general remarks on rough sets and their place in general picture of research on vagueness and uncertainty – concepts of utmost interest, for many years, for philosophers, mathematicians, logicians and recently also for computer scientists and engineers particularly those working in such areas as AI, computational intelligence,
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2014
We prove the recent result of Liu and Zhu [1] and discuss some consequences of that and related facts for the development of rough set theory.
Victor W. Marek, Andrzej Skowron
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We prove the recent result of Liu and Zhu [1] and discuss some consequences of that and related facts for the development of rough set theory.
Victor W. Marek, Andrzej Skowron
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Rough Sets in Partially Ordered Sets
2010 IEEE International Conference on Granular Computing, 2010It is well-known to us that the Pawlak’s rough set theory, an effective tool to deal with uncertainty and granularity in information systems, is based on equivalence relation. However, in some situations, those conditions of equivalence relation are hardly met.
Kai Li, William Zhu 0001, Jianguo Tang
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A Semantical Approach to Rough Sets and Dominance-Based Rough Sets
2016There exist two formulations of rough sets: the conceptual and computational one. The conceptual or semantical approach of rough set theory focuses on the meaning and interpretation of concepts, while algorithms to compute those concepts are studied in the computational formulation. However, the research on the former is rather limited.
Lynn D'eer, Chris Cornelis, Yiyu Yao
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