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Formal Concept Analysis

2011
Formal concept analysis identifies conceptual structures among data sets. Multi-level modeling potentialities in formal concept analysis are highlighted.
Rainer Brüggemann, Ganapati P. Patil
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Typicality: A formal concept analysis account

International Journal of Approximate Reasoning, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radim Belohlavek, Tomas Mikula
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Formal Concept Analysis

2009
Formal concept analysis (FCA) is a mathematical theory about concepts and concept hierarchies. Based on lattice theory, it allows to derive concept hierarchies from datasets. In this survey, we recall the basic notions of FCA, including its relationship to folksonomies. The survey is concluded by a list of FCA based knowledge engineering solutions.
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Formal Concept Analysis

2014
Formal Concept Analysis (FCA) is a multi-disciplinary field built on the solid foundation of lattice and order theory. Besides this, FCA is strongly rooted in philosophical aspects of the mathematical formalization of concept and concept hierarchy. Since its emergence in the 1980s the field has developed into a constantly growing research area in its ...
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Monadic Formal Concept Analysis

2014
Formal 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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Identifying traits with formal concept analysis

Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering, 2005
Traits are basically mixins or interfaces but with method bodies. In languages that support traits, classes are composed out of traits. There are two main advantages with traits. Firstly, decomposing existing classes into traits from which they can be recomposed improves the factoring of hierarchies. Secondly it increases the library reuse potential by
Lienhard, Adrian   +2 more
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Data granulation and formal concept analysis

IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04., 2004
Understanding the associations among the data items of a given dataset plays a significant role in data mining. One of the well-known methods that deliver the associations among data items is Formal Concept Analysis (FCA) that is able to represent the associations among data items as a lattice.
R. Hashemi   +3 more
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AFS Formal Concept and AFS Fuzzy Formal Concept Analysis

2009
In this chapter, based on the original idea of Wille of formal concept analysis and the AFS (Axiomatic Fuzzy Set) theory, we presents a rigorous mathematical treatment of fuzzy formal concept analysis referred to as an AFS Formal Concept Analysis (AFSFCA).
Xiaodong Liu, Witold Pedrycz
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[Formal concept analysis].

Casopis lekaru ceskych, 1996
Formal Concept Analysis plays a fundamental role in different fields of research and it is widely used in applied sciences in the last years. In the present paper the authors show in detail how it can be applied to the study of results obtained in clinical practice.
L, Beran, O, Bernard
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Fuzzy Formal Concept Analysis

2018
Formal Context Analysis is a mathematical theory that enables us to find concepts from a given set of objects, a set of attributes and a relation on them. There is a hierarchy of such concepts, from which a complete lattice can be made. In this paper we present a generalization of these ideas using fuzzy subsets and fuzzy implications defined from ...
Abner Brito   +4 more
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