Ordering of fuzzy numbers through linguistic approximation based on Bonissone's two step method

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F15%3A33154880" target="_blank" >RIV/61989592:15210/15:33154880 - 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
Ordering of fuzzy numbers through linguistic approximation based on Bonissone's two step method
Original language description
Linguistic approximation is a suitable way of transforming mathematical outputs into words that can be easily used and understood by laymen. The methods for linguistic approximation range from simple distance based ones to more complex methods aspiring on finding high semantic match between the approximated output and its linguistic label. This paper builds on Bonissone's proposal of a two step method for linguistic approximation based on a pattern recognition approach. It suggests an algorithm for finding a partial ordering of fuzzy numbers utilizing the partial results from the two step method. As such it proposes a means of finding a partial ordering of fuzzy numbers through linguistic approximation. The proposed algorithm is showcased on several numerical examples and its performance is briefly discussed.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CINTI 2015, 16th IEEE International Symposium on Computational Intelligence and Informatics, 19-21 November, 2015, Budapest, Hungary,
ISBN
978-1-4673-8520-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
285-290
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Budapest
Event location
Budapest, Hungary
Event date
Nov 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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