Results 61 to 70 of about 1,653,449 (187)
Attribute Reduction in Intuitionistic Fuzzy Concept Lattices
As an effective tool for knowledge discovery, concept lattice has been successfully applied to various fields. And one of the key problems of knowledge discovery is attribute reduction.
Jinzhong Pang, Xiaoyan Zhang, Weihua Xu
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Attribute Reduction Based on Rough Approximation Set in Algebra and Information Views
Rough set proposed by Pawlak in 1982 is an important tool to process uncertain information. As an extended model of rough set, an approximation set model of rough set was proposed and proved to be feasible to establish an approximation target set with ...
Qinghua Zhang +2 more
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A Quick Attribution Reduction Algorithm Based on Incomplete Decision Table
At present, some scholars have provided the attribution reduction algorithms of incomplete decision table. The time complexity of many algorithms are .To cut down the time complexity of the algorithms for computing attribution reduction , the definition ...
Wen Hao Shu, Zhang Yan Xu, Shen Ruan
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A New Algorithm for Attribute Reduction Based on Discernibility Matrix
Attribute reduction is one of the key problems in the theoretical research of Rough Set, and many algorithms have been proposed and studied about it. These methods may be divided into two strategies (addition strategy and deletion strategy), which are based on adopting different heuristics or fitness functions for attribute selection. In this paper, we
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Application of Rough Set Theory in Fault Diagnosis of Roller Bearing
Rough set is a soft computing method which needn’t any validated knowledge and theoretics deducing,just depends on original data,and it aims at discovering latent laws and rules.Its core task is reducing data in order to get the simplest decision rules ...
MIN Yong~(, 2), GUO Yi-nan~
doaj
Aiming at the stability of surrounding rock of large section coal roadway in Zhaozhuang mine,the fuzzy clustering method is used to classify 15 roadways in 3 panels in Zhaozhuang Mine.Through the statistical analysis of the classification indicators,the ...
Wang Maosheng +5 more
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Discernibility of the Interdigitation Zone (IZ), a Potential Optical Coherence Tomography (OCT) Biomarker for Visual Dysfunction in Aging. [PDF]
Berlin A +9 more
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Incomplete Concept Lattice Data Analytical Method Research Based on Rough Set Theory
Concept lattice and rough set are powerful tools for data analyzing and processing, has been successfully applied to many fields. However, the decision information is incomplete in many information systems.
Jin Peng Wang +3 more
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Rough set model based on the labelled tree
In order to characterize and deal with the vagueness and uncertainty of structured data as well as the compositions and contents implied within semi-structured data models,a labelled tree rough set model(LTRS) was presented by extending the traditional ...
LI Xiong-fei, SUN Tao, GUO Jian-fang
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© Springer International Publishing Switzerland 2016. Feature selection is to remove redundant and irrelevant features from original ones of exemplars, so that a sparse and representative feature subset can be detected for building a more efficient and ...
Xie, J +7 more
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