Results 31 to 40 of about 7,556,433 (371)
Empirical analysis of rough set categorical clustering techniques based on rough purity and value set [PDF]
, 2017 Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, attention has been put on categorical data clustering, where data objects are made up of non-numerical attributes.
Abdulhasan, Raed abdulkareem +5 more
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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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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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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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Brain Image Segmentation Based on FCM Clustering Algorithm and Rough Set
IEEE Access, 2019 In this paper, a new image segmentation method is proposed by combining the FCM clustering algorithm with a rough set theory. First, the attribute value table is constructed based on the segmentation results of FCM under different clustering numbers, and
Hong Huang +4 more
semanticscholar +1 more source
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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