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An Entropy-Based Weighted Concept Lattice for Merging Multi-Source Geo-Ontologies
Entropy, 2013 To deal with the complexities associated with the rapid growth in a merged concept lattice, a formal method based on an entropy-based weighted concept lattice (EWCL) is proposed as a mechanism for merging multi-source geographic ontologies (geo ...
Zongyi He, Qiaoli Zhu, Junli Li
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International Journal of Computational Intelligence Systems, 2021 Concept lattice, as an effective tool for knowledge acquisition and data analysis, has been successfully used in many fields. Aiming at the problem of groups for uncertain information in the linguistic environment, this paper mainly focuses on the ...
Hui Cui +4 more
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Research on Drift Calculation of Concept Lattice for Sliding Window Method
Jisuanji kexue yu tansuo, 2021 Concept lattice is an effective tool for data analysis and rule acquisition. In recent years, the application and research of concept lattice has gradually become an important research direction in the field of data analysis.
XU Jilin, XU Jianfeng, LIU Long, WU Fangwen
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A Combination Algorithm of Multiple Lattice-Valued Concept Lattices [PDF]
International Journal of Computational Intelligence Systems, 2013 With the rapid development of network technology, especially in the internet area, distributed computation and parallel processing of data are urgently needed. This paper studies the combination operation of the lattice-valued concept lattices to realize
Li Yang, Yuhui Wang, Yang Xu
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The Feature Description of Formal Context Based on the Relationships among Concept Lattices
Entropy, 2021 Three-way concept analysis (3WCA) is extended research of formal concept analysis (FCA) by combining three-way decision. The three-way object oriented concept lattice (OEOL) is one of the important data structures which integrates rough set, concept ...
Ting Qian, Yongwei Yang, Xiaoli He
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Study of Implication Representation Based on Decision Implication
Jisuanji kexue yu tansuo, 2021 Formal concept analysis can use concept lattice and (attribute) implication to visualize and represent knowledge. Decision implication is a special implication, and the study of decision implication is to establish and study one or more closed subsystems
WANG Yali, ZHAI Yanhui, ZHANG Shaoxia, JIA Nan, LI Deyu
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Attribute Logic Formula Description of Granule and Its Application to Build Concept Lattice
IEEE Access, 2020 This paper focus on the granule description based on formal concept analysis. First, we introduce the notion of attribute logic formula in a formal context, and then prove a general granule description theorem by using attribute logic formulas.
Xia Wu, Jialu Zhang, Ruhua Lu
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Abstract Concept Lattices [PDF]
, 2011 We present a view of abstraction based on a structure preserving reduction of the Galois connection between a language L of terms and the powerset of a set of instances O. Such a relation is materialized as an extension-intension lattice, namely a concept lattice when L is the powerset of a set P of attributes. We define and characterize an abstraction
Henry Soldano, Véronique Ventos
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Stream Convolution for Attribute Reduction of Concept Lattices
Mathematics, 2023 Attribute reduction is a crucial research area within concept lattices. However, the existing works are mostly limited to either increment or decrement algorithms, rather than considering both.
Jianfeng Xu +4 more
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Research on the multi-granularity method of role engineering
Frontiers in Computational Neuroscience, 2022 The role-based access control model (RBAC) is an access control approach oriented to enterprise security policy, which plays a leading role in the field of access control due to its good applicability and flexibility.
Yongmei Jiao +3 more
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