On similarity preservation in fuzzy relation systems with hedges

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F10%3A10212420" target="_blank" >RIV/61989592:15310/10:10212420 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
On similarity preservation in fuzzy relation systems with hedges
Original language description
We present results on how formulas of fuzzy logic preserve similarity. The basic questions are as follows: does an input-output mapping, which is defined by logical formulas and which maps fuzzy sets to fuzzy sets, preserve similarity? To what extent? More generally, can we estimate similarity degrees of the output fuzzy sets in terms of similarity degrees of the input fuzzy sets? In the present paper, we extend previously published results. Our extension consists of taking truth-stressing hedges, i.e.truth functions of connective 'very true', into account. We present the similarity estimation results and provide an example of application of our results.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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