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On Fuzzy Generalizations of Concept Lattices
2018We provide an overview of different generalizations of formal concept analysis based on Fuzzy logic. Firstly, we recall a common platform for early fuzzy approaches and then, we deal with the data heterogeneity and its various extensions. A second-order formal context makes a bridge between the early fuzzy extensions and the heterogeneous frameworks. A
Lubomir Antoni +2 more
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The Object Enlargement of Fuzzy Concept Lattices
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008In the areas of database maintenance, an important practical aspect is the data management. In this paper, approaches to data enlargement based on similarity relations of the fuzzy concept lattices is proposed. To satisfy different requirement, the exact enlargement and the approximate enlargement are considered respectively.
Lei Zhao, Guosheng Cheng
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Dynamic and evolving fuzzy concept lattices
2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2013Fuzzy formal concept analysis enables us to add structure to data by identifying coherent groups of related objects and attributes. In a situation where data is added dynamically, the concept lattice may evolve in different ways - either in content (more objects added to existing concepts) or in structure (entirely new concepts are created).
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Robust Variable Threshold Fuzzy Concept Lattice with Application to Medical Diagnosis
International Journal of Fuzzy Systems, 2023Yanhui Zhai, Tao Wang, Deyu Li
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Fuzzy Sets and Systems, 2016
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Concept lattices and similarity in non-commutative fuzzy logic
Fundamenta Informaticae, 2002A classical (crisp) concept is given by its extent (a set of objects) and its intent (a set of properties). In commutative fuzzy logic, the generalization comes naturally, considering fuzzy sets of objects and properties. In both cases (the first being actually a particular case of the second), the situation is perfectly symmetrical: a concept is ...
Georgescu, George, Popescu, Andrei
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Object-Attribute Fuzzy Relations and Fuzzy Concept Lattices
2002Elementary knowledge: relation between objects and attributes. When exploring an unknown domain of interest, the primarily observable data are in the form of a collection of relevant objects (minerals, animals, cities, documents, etc.), attributes that may apply to the objects (to be hard, to be warm-blooded, to be a capital city, to have many ...
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Fuzzy concept lattice construction: A basis for building fuzzy ontologies
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011Fuzzy concept lattices are being used as the basis for creating fuzzy ontologies. Fuzzy formal contexts serve as the starting point for which a variety of proposed methods have been used to create fuzzy concept lattices from them. This paper reviews two of these methods: the one-sided threshold approach and the fuzzy closure operator approach and ...
Valerie Cross, Meenakshi Kandasamy
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International Conference on Intelligent Systems and Knowledge Engineering, 2019
With the coming of the era of big data, the recommendation system has become the most important way for all industries to obtain more effective information.
Kuo Pang +4 more
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With the coming of the era of big data, the recommendation system has become the most important way for all industries to obtain more effective information.
Kuo Pang +4 more
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Engineering applications of artificial intelligence, 2019
Singh (2018) claims to propose an extension of formal concept analysis for handling multi-polar information. For this setting he invents an algorithm. The aim of this note is two-fold: First, we show that Singh’s algorithm is inefficient, since it is a ...
Jan Konečný
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Singh (2018) claims to propose an extension of formal concept analysis for handling multi-polar information. For this setting he invents an algorithm. The aim of this note is two-fold: First, we show that Singh’s algorithm is inefficient, since it is a ...
Jan Konečný
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