Scaling, Granulation, and Fuzzy Attributes in Formal Concept Analysis.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F07%3A00004628" target="_blank" >RIV/61989592:15310/07:00004628 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Scaling, Granulation, and Fuzzy Attributes in Formal Concept Analysis.
Original language description
The present paper deals with scaling within the framework of formal concept analysis (FCA) of data with fuzzy attributes. In ordinary FCA, the input is a data table with yes/no attributes. Scaling is a process of transformation of data tables with general attributes, e.g. nominal, ordinal, etc., to data tables with yes/no attributes. This way, data tables with general attributes can be analyzed by means of FCA. We propose a new way of scaling, namely, scaling of general attributes to fuzzy attributes. After such a scaling, the data can be analyzed by means of FCA developed for data with fuzzy attributes. Compared to ordinary scaling to yes/no attributes, our scaling procedure is less sensitive to how a user defines a scale which eliminates the arbitrariness of user's definition of a scale. This is the main advantage of our approach. In addition, scaling to fuzzy attributes is appealing from the point of view of knowledge representation and is connected to Zadeh's concept of linguistic
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F05%2F0079" target="_blank" >GA201/05/0079: Formal concept analysis of indeterminate and large data: theory, methods, and applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of IEEE International Fuzzy Systems Conference
ISBN
978-1-4244-1209-9
ISSN
1544-5615
e-ISSN
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Number of pages
6
Pages from-to
918-923
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
London
Event date
Jul 23, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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