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Roughness Bounds in Set-oriented Rough Set Operations
2006 IEEE International Conference on Fuzzy Systems, 2006Roughness is an important indicator for the uncertainty of a rough set. This paper analyses the roughness bounds for set-oriented rough set operations. A bound of the roughness of the union between two set-oriented rough sets could be determined by the roughness of the two operand set-oriented sets.
null Yingjie Yang, R. John
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Fundamenta Informaticae, 2011
This article investigates the Game-theoretic Rough Set (GTRS) model and its capability of analyzing a major decision problem evident in existing probabilistic rough set models. A major challenge in the application of probabilistic rough set models is their inability to formulate a method of decreasing the size of the boundary region through further ...
Herbert, Joseph P., Yao, Jingtao
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This article investigates the Game-theoretic Rough Set (GTRS) model and its capability of analyzing a major decision problem evident in existing probabilistic rough set models. A major challenge in the application of probabilistic rough set models is their inability to formulate a method of decreasing the size of the boundary region through further ...
Herbert, Joseph P., Yao, Jingtao
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A novel approach to attribute reduction based on weighted neighborhood rough sets
Knowledge-Based Systems, 2021Meng Hu +4 more
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Subset neighborhood rough sets
Knowledge-Based Systems, 2021T. Al-shami, D. Ciucci
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A kind of new rough set: Rough soft sets and rough soft rings
Journal of Intelligent & Fuzzy Systems, 2015The aim of this paper is to lay a foundation for providing a rough soft tool in considering many problems that contain uncertainties. We put forward the concepts of rough soft rings and rough idealistic soft rings. Some basic operations on rough soft rings are discussed. Some good examples are explored.
Zhan, Jianming, Davvaz, Bijan
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2017
The departing point of this study is a data table with certainty values associated to attribute values. These values are deeply rooted in possibility theory, they can be obtained with standard procedures and they are efficiently manageable in databases. Our aim is to study rough set approximations and reducts in this framework.
CIUCCI, DAVIDE ELIO, Forcati, I.
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The departing point of this study is a data table with certainty values associated to attribute values. These values are deeply rooted in possibility theory, they can be obtained with standard procedures and they are efficiently manageable in databases. Our aim is to study rough set approximations and reducts in this framework.
CIUCCI, DAVIDE ELIO, Forcati, I.
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Improvement of the approximations and accuracy measure of a rough set using somewhere dense sets
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021T. Al-shami
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Rough Set Based Decision Support
2006In this chapter, we are concerned with discovering knowledge from data. The aim is to find concise classification patterns that agree with situations that are described by the data. Such patterns are useful for explanation of the data and for the prediction of future situations.
SLOWINSKI R +2 more
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