Results 11 to 20 of about 619 (257)
In machine learning-based transient stability assessment (TSA) problems, the characteristics of the selected features have a significant impact on the performance of classifiers.
Bingyang Li, Jianmei Xiao, Xihuai Wang
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Characterizations for Matrices of Dominant Support Parameters in Soft Sets
The matrix of dominant support parameters plays an important role in solving the normal and pseudo parameter reduction problems for soft sets. This article aims to make a fundamental investigation on the properties of matrix of dominant support ...
Banghe Han +3 more
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The binary discernibility matrix, originally introduced by Felix and Ushio, is a binary matrix representation for storing discernible attributes that can distinguish different objects in decision systems. It is an effective approach for feature selection,
Nan Zhang +3 more
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Attribute Reduction Methods Based on Pythagorean Fuzzy Covering Information Systems
By introducing covering rough sets to Pythagorean fuzzy environment, we construct a new rough set model called the Pythagorean fuzzy λ-covering rough set.
Chen Yan, Haidong Zhang
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Although the concepts of imprecision are captured by both rough sets and intuitionistic fuzzy sets, investigations combining these two ideas and their applications in incompletely ordered information systems are scarce.
Iftikhar Ul Haq +4 more
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Maximum Consistent Block Based Variable Precision Rough Set Model and Attribute Reduction
In this paper, attribute reduction of incomplete information system is studied. Firstly, optimistic and pessimistic generalized variable precision rough set models based on maximal consistent blocks are constructed.
SUN Yan, MI Jusheng, FENG Tao, LI Leijun, LIANG Meishe
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The basic idea underneath the generalized intuitionistic fuzzy soft set is very constructive in decision making, since it considers how to exploit an extra intuitionistic fuzzy input from the director to make up for any distortion in the information ...
Muhammad Jabir Khan +4 more
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Optimal Scale Selection and Rule Acquisition in Inconsistent Generalized Decision Multi-scale Ordered Information Systems [PDF]
Granular computing imitates human being's thinking.It shows great promise as a new way for data mining and know-ledge discovery in the context of big data.To solve the problem of knowledge acquisition in inconsistent generalized decision multi-scale ...
YANG Ye, WU Weizhi, ZHANG Jiaru
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Dual Three-way Concept Lattice Based on Composition of Concepts and Its Concept Reduction [PDF]
Three-way concept lattice not only represents the information jointly owned,but also represents the information that is not owned by each other by combining positive operators and negative operators.It is an extension of the classical concept lattice ...
LIU Jin, MI Jusheng, LI Zhongling, LI Meizheng
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Three-Way Concept Acquisition and Attribute Characteristic Analysis Based on Pictorial Diagrams [PDF]
Three-way concepts analysis, an effective tool for knowledge discovery, is a combination of three-way decision and formal concept analysis. Based on the connections between three-way concepts and formal concepts, the method of obtaining three-way ...
WAN Qing, MA Yingcang, LI Jinhai
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