Results 21 to 30 of about 8,185,214 (318)
Rough Standard Neutrosophic Sets: An Application on Standard Neutrosophic Information Systems [PDF]
Neutrosophic Sets and Systems, 2016 A rough fuzzy set is the result of the approximation of a fuzzy set with respect to a crisp approximation space. It is a mathematical tool for the knowledge discovery in the fuzzy information systems.
Nguyen Xuan Thao +2 more
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Confusion Matrices and Rough Set Data Analysis [PDF]
Journal of Physics: Conference Series, 2019 A widespread approach in machine learning to evaluate the quality of a classifier is to cross – classify predicted and actual decision classes in a confusion matrix, also called error matrix.
I. Düntsch, G. Gediga
semanticscholar +1 more source
Neutrosophic Sets and Systems, 2014 Both neutrosophic sets theory and rough sets theory are emerging as powerful tool for managing uncertainty, indeterminate, incomplete and imprecise information.
Said Broumi +2 more
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Pythagorean fuzzy soft rough sets and their applications in decision-making
Journal of Taibah University for Science, 2020 This paper aims to originate two new notions that are soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set, and investigate some important properties of soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set in detail ...
Azmat Hussain +2 more
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Decision-Theoretic Rough Set: A Fusion Strategy
IEEE Access, 2020 Decision-theoretic rough set is a popular topic. However, such single-granulation rough set model is not able to handle complex information well, such as multi-source, multi-scale and high dimensions data.
Tao Yin +5 more
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Evaluation of Xiashu loess slope stability in Zhenjiang area using different methods
Zhongguo dizhi zaihai yu fangzhi xuebao, 2021 Slope instability is the result of the continuous evolution of the interaction of geological environment conditions in a certain area, so many factors should be considered when evaluating the stability of a slope. In this paper, the influence factors and
Jingjing QU +4 more
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An Attempt of Object Reduction in Rough Set Theory [PDF]
, 2019 Attribute reduction is a popular topic in rough set theory; however, object reduction is not considered popularly. In this paper, from a viewpoint of computing all relative reducts, we introduce a concept of object reduction that reduces the number of ...
KUDO Yasuo, MURAI Tetsuya
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Journal of Mathematics, 2020 The major concern of this article is to propose the notion of picture fuzzy rough sets (PFRSs) over two different universes which depend on δ,ζ,ϑ-cut of picture fuzzy relation ℛ on two different universes (i.e., by combining picture fuzzy sets (PFSs ...
Dliouah Ahmed, Binxiang Dai
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International Journal of Computational Intelligence Systems, 2014 Rough set theory gives approximation models of complex knowledge structure. Agents are not present in the definition of the rough sets. Now we will show that a set of conflicting agents or active set can be used to model inconsistent decision in rough ...
Germano Resconi, Chris Hinde
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Interval Neutrosophic Rough Set [PDF]
Neutrosophic Sets and Systems, 2015 This Paper combines interval- valued neutrouphic sets and rough sets. It studies roughness in interval- valued neutrosophic sets and some of its properties.
Said Broumi, Florentin Smarandache
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