Similarity issues in attribute implications from data with fuzzy attributes.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F06%3A00002582" target="_blank" >RIV/61989592:15310/06:00002582 - 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
Similarity issues in attribute implications from data with fuzzy attributes.
Original language description
We study similarity in formal concept analysis of data tables with fuzzy attributes. We focus on similarity related to attribute implications, i.e. rules ARightarrow B describing dependencies "each object which has all attributes from A has also all attributes from B''. We present several formulas for estimation of similarity of outputs in terms of similarity of inputs. The results answer some natural questions such as how much do truth degrees of A_1Rightarrow B and A_2Rightarrow B differ in terms of similarity of A_1 to A_2?
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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 2006 IEEE International Conference Information Reuse and Integration
ISBN
0-7803-9788-6
ISSN
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e-ISSN
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Number of pages
1500
Pages from-to
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Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
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Event date
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UT code for WoS article
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