Results 211 to 220 of about 401,637 (264)

Associative and Formal Concepts

2002
In several fields there is a divide between formal and associative models of concepts and reasoning. For example, in AI associative models such as neural networks and evolutionary computation are distinguished from symbolic, logic-based approaches. In psychology, fuzzy or category-based approaches compete with the "classical" theory of classification ...
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FORMAL CONCEPTION OF ROUGH SETS

Fundamenta Informaticae, 1996
In the paper we present a formal description of rough sets within the framework of the generalized set theory, which is interpreted in the set approximation theory. The rough sets are interpreted as approximations, which are defined by means of the Pawlak's rough sets.
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Signs and Formal Concepts

2004
In this paper we propose a semiotic conceptual framework which is compatible with Peirce’s definition of signs and uses formal concept analysis for its conceptual structures. The goal of our research is to improve the use of formal languages such as ontology languages and programming languages.
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Probabilistic Formal Concepts with Negation

2015
The probabilistic generalization of formal concept analysis, as well as it’s comparison to standard formal analysis is presented. Construction is resistant to noise in the data and give one an opportunity to consider contexts with negation (object-attribute relation which allows both attribute presence and it’s absence). This generalization is obtained
E. E. Vityaev 0001, V. V. Martinovich
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Scalability in Formal Concept Analysis

Computational Intelligence, 1999
Formal Concept Analysis is a symbolic learning technique derived from mathematical algebra and order theory. The technique has been applied to a broad range of knowledge representation and exploration tasks in a number of domains. Most recorded applications of Formal Concept Analysis deal with a small number of objects and attributes, in which case the
Cole, Richard, Eklund, Peter
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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, Laécio C. Barros, Estevão Laureano Esmi, Fábio Bertato, Marcelo E. Coniglio   +4 more
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Generalized Formal Concept Analysis

2000
Formal Concept Analysis is an algebraic model based on a Galois connection that is used for symbolic knowledge exploration from an elementary form of the representation of data (“formal context”). The aim of this paper is to design the theoretical models required for the extension of Formal Concept Analysis to any kind of lattice-structured set of ...
Laurent Chaudron, Nicolas Maille
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Rough formal concepts and their accuracies

IEEE International Conference onServices Computing, 2004. (SCC 2004). Proceedings. 2004, 2004
This research is concerned with rough concept, a synthesis of rough sets and formal concept analysis. This theory is more expressive than ordinary approaches in knowledge representation and reasoning. Like rough sets theory, this research proposes an accuracy computing approach to characterizing the rough formal concept numerically and the role ...
Qiang Wu, Zongtian Liu, Yun Li
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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 of multi-scale formal context

Journal of Ambient Intelligence and Humanized Computing, 2020
The case that attributes have a single value is considered in the classical formal concept. However, real-life data involve multi-level attribute values, which means that attributes have different values on different scales. In order to deal with multi-level attributes, we introduce the concept of multi-scale formal context in this paper.
Dongxiao Chen, Jinjin Li, Rongde Lin
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