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Fuzzy Concepts in Formal Context
2015Formal concept analysis (FCA) provides a theoretical framework for learning hierarchies of knowledge clusters. This paper is devoted to the study of the fuzzy concept in FCA. We propose a fuzzy relation on the universe to characterize the similarity of the objects.
Luodan Meng, Keyun Qin
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2010
The formal conception articulates no presumption for a particular entity to be an international person. The international legal system is declared completely open: anyone being the addressee of an international norm (right, duty or capacity) is an international person. Consequently, international personality is an a posteriori concept.
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The formal conception articulates no presumption for a particular entity to be an international person. The international legal system is declared completely open: anyone being the addressee of an international norm (right, duty or capacity) is an international person. Consequently, international personality is an a posteriori concept.
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1999
In this paper, we present a novel approach for approximating concepts in the framework of formal concept analysis. Two main problems are investigated. The first, given a set A of objects (or a set B of features), we want to find a formal concept that approximates A (or B).
Jamil Saquer, Jitender S. Deogun
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In this paper, we present a novel approach for approximating concepts in the framework of formal concept analysis. Two main problems are investigated. The first, given a set A of objects (or a set B of features), we want to find a formal concept that approximates A (or B).
Jamil Saquer, Jitender S. Deogun
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Concept reduction on interval formal concept analysis
9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010A concept clustering method on interval concept lattice is introduced in this paper. Based on the distance between two formal concepts defined, the clustering method is presented. Clustering can reduce the size of interval concept lattice to get better interval lattice structure which can be easier to understand.
Zhou Wen +3 more
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Husserl's conception of formal ontology
History and Philosophy of Logic, 1993The concept of formal ontology was first developed by Husserl. It concerns problems relating to the notions of object, substance, property, part, whole, predication, nominalization, etc. The idea of formal ontology is present in many of Husserl’s works, with minor changes. This paper provides a reconstruction of such an idea.
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Monadic Formal Concept Analysis
2014Formal Concept Analysis (FCA) as inherently relational can be formalized and generalized by using categorical constructions. This provides a categorical view of the relation between “object” and “attributes”, which can be further extended to a more generalized view on relations as morphisms in Kleisli categories of suitable monads. Structure of sets of
Patrik Eklund +3 more
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Approximation in Formal Concept Analysis
2005We introduce a pair of rough set approximations in formal concept analysis. The proposed approximation operators are defined based on both lattice-theoretic and set-theoretic operators. The properties of the approximation operators are examined. Algorithms for attribute reduction and object reduction in concept lattices are presented.
Ming-Wen Shao, Wen-Xiu Zhang
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Concept location in formal specifications
Journal of Software Maintenance and Evolution: Research and Practice, 2008AbstractWhen kept up‐to‐date, formal specifications can act as valid artifacts for maintenance tasks. However, their linguistic density and size impede comprehension, reuse, and change activities. Techniques such as specification slicing and chunking help in reducing the number of relevant lines of text to be considered, but they expect the point of ...
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Probabilistic Concepts in Formal Contexts
2012We generalize the main notions of Formal Concept Analysis with the ideas of the semantic probabilistic inference. We demonstrate that under standard restrictions, our definitions completely correspond to the original notions of Formal Concept Analysis. From the point of view of applications, we propose a method of recovering concepts in formal contexts
Alexander V. Demin +2 more
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Concept Drift in documents and Formal Concept Analysis
2010Formal Concept Analysis (FCA) enables us to extract conceptual information from data and to visualize its structure in a lattice form. Here, we apply FCA to the analysis of a series of documents published periodically, in order to capture drifts of formal concepts occurred in the series by shifting the corresponding formal context as a viewpoint by ...
Yutaka Miyazaki, Yuzuru Tanaka
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