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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:
A Probabilistic Approach to the Modeling of the Relationship Between Fuzzy Sets
Citace
Burda, M. A Probabilistic Approach to the Modeling of the Relationship Between Fuzzy Sets.
In:
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): IEEE World Congrees on Computational Intelligence (IEEE WCCI 2016) 2016-07-24 Vancouver, Canada.
Vancouver, Canada: IEEE, 2016. s. 280-287. ISBN 978-1-5090-0625-0.
Subtitle
Publication year:
2016
Obor:
Obecná matematika
Number of pages:
8
Page from:
280
Page to:
287
Form of publication:
Paměťový nosič
ISBN code:
978-1-5090-0625-0
ISSN code:
1098-7584
Proceedings title:
IEEE World Congrees on Computational Intelligence (IEEE WCCI 2016)
Proceedings:
Mezinárodní
Publisher name:
IEEE
Place of publishing:
Vancouver, Canada
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Místo konání konference:
Vancouver, Canada
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000392150700039
EID:
Key words in English:
fuzzy set, copula, t-norm
Annotation in original language:
Instead of degrees, we model a partial membershipof an object to a fuzzy set as a (crisp) subset of a special abstract universe of so-called membership quanta. That allows us to define the operations on fuzzy sets on the basis of classical set operations. As a result, there is not a freedom of choosing a t-norm for intersection or a t-conorm for union etc. Instead, the set operations are unique and satisfy all axioms of Boolean algebra. If a measure is defined on the universe of membership quanta, we can obtain membership degrees and show that similarly to the theory of probability also the membership degrees of intersections are governed by copulas.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17610/16:A1701FMH
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