Towards fuzzy interpolation with "at least -- at most" fuzzy rule bases

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F10%3AA1100YI7" target="_blank" >RIV/61988987:17610/10:A1100YI7 - 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
Towards fuzzy interpolation with "at least -- at most" fuzzy rule bases
Original language description
Fuzzy interpolation property is among the most important properties of fuzzy inference systems. It has been showed that the normality plus Ruspini condition applying to the antecedent fuzzy sets is a sufficient condition with a high practical impact. Another important property is the monotone behavior of the resulting control function (after a defuzzification) derived from a monotone fuzzy rule base. Unfortunately, this goal may be often reached only when applying at least and most modifiers which is incollision with the Ruspini condition. This paper tries to answer the question whether this collision is an unavoidable obstacle for the interpolation property or whether the ``lost'' Ruspini condition does not cause losing the interpolation.
Czech name
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Czech description
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Project
<a href="/en/project/IAA108270902" target="_blank" >IAA108270902: Theory of Semilinear Lattice-ordered Spaces</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Computational Intelligence - Foundations and Applications
ISBN
978-981-4324-69-4
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
World Scientific
Place of publication
Singapore
Event location
Chengdu/Emei, China
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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