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Distances Between Formal Concept Analysis Structures [PDF]
Transactions on Graph Data and KnowledgeIn this paper, we study the notion of distance between the most important structures of formal concept analysis: formal contexts, concept lattices, and implication bases.
Bazin, Alexandre, Kahn, Giacomo
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The Method of Data Analysis in Intuitionistic Fuzzy Generalized Consistent Decision Formal Context
Entropy, 2019 Concept lattice has been successfully applied to various fields as an effective tool for data analysis and knowledge discovery, with attribute reduction being the key problem.
Binbin Sang +3 more
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Research of ontology construction of coal mining face based on formal concept analysis
Gong-kuang zidonghua, 2017 In view of problem of time-consuming and subjective dependence of traditional ontology construction method, an ontology construction method of coal mining face based on formal concept analysis was proposed.
LIU Ting +4 more
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Hesitant Fuzzy Concept Lattice and its Application
IEEE Access, 2020 The hesitant fuzzy set (HFS) can reflect the hesitation and uncertainty of decision-makers for the reason that it uses some possible values instead of a certain value. Considering that there is still no research on concept lattice or fuzzy formal concept
Xue Yang, Zeshui Xu
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Interesting Concept Mining With Concept Lattice Convolutional Networks
IEEE AccessThe extraction of meaningful conceptual structures is often a critical task in many scientific and engineering disciplines, as it enables a comprehensive analysis of complex data in terms of both context and content.
Mohamed Hamza Ibrahim +2 more
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On inference rules in decision formal contexts [PDF]
International Journal of Computational Intelligence Systems, 2015 Rule acquisition is one of the main purposes in the analysis of decision formal contexts. In general, the number of implications in a decision formal context is an exponential increase to the scale of the database.
Jinhai Li +3 more
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Gradation of Fuzzy Preconcept Lattices
Axioms, 2021 Noticing certain limitations of concept lattices in the fuzzy context, especially in view of their practical applications, in this paper, we propose a more general approach based on what we call graded fuzzy preconcept lattices.
Alexander Šostak +2 more
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Journal of Data and Information Science, 2019 Formal concept analysis (FCA) and concept lattice theory (CLT) are introduced for constructing a network of IDR topics and for evaluating their effectiveness for knowledge structure exploration.
Xu Haiyun +3 more
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Structural biology of ferritin nanocages
FEBS Letters, EarlyView.Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
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Role Minimization Optimization Algorithm Based on Concept Lattice Factor
Mathematics, 2023 Role-based access control (RBAC) is a widely adopted security model that provides a flexible and scalable approach for managing permissions in various domains.
Tao Wang, Qiang Wu
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