Similarity preservation in fuzzy relational systems: Extension for hedges

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F08%3A00010264" target="_blank" >RIV/61989592:15310/08:00010264 - 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
Similarity preservation in fuzzy relational systems: Extension for hedges
Original language description
We present results on how formulas of fuzzy logic preserve similarity. The basic question can be put as follows: Does an input-output mapping, which is defined by logical formulas and which maps fuzzy sets to fuzzy sets, preserve similarity and to what extent? That is, 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 in that we take 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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Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2008 Fourth International IEEE Conference on Intelligent Systems
ISBN
978-1-4244-1740-7
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Number of pages
1000
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Publisher name
IEEE Computer Society Press
Place of publication
New York
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Event date
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UT code for WoS article
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