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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:
Systems of Fuzzy Relation Equations: New Solvability Criteria Based on the Orthogonality Condition
Citace
Štěpnička, M. a Nosková, L. Systems of Fuzzy Relation Equations: New Solvability Criteria Based on the Orthogonality Condition.
In:
Proceedings of Czech-Japan Seminar on Data Analysis & Decision Making under Uncertainty - Ninth Meeting.
Japonsko: Waseda University, 2006. Waseda University, 2006. s. 352-356.
Subtitle
Publication year:
2006
Obor:
Obecná matematika
Number of pages:
5
Page from:
352
Page to:
356
Form of publication:
ISBN code:
ISSN code:
Proceedings title:
Proceedings of Czech-Japan Seminar on Data Analysis & Decision Making under Uncertainty - Ninth Meeting
Proceedings:
Publisher name:
Waseda University
Place of publishing:
Japonsko
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
Czech-Japan Seminar on Data Analysis & Decision Making under Uncertainty - Ninth Meeting
Místo konání konference:
Kitakyushu & Nagasaki
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
Key words in English:
Fuzzy relation equations; Compositions; Fuzzy inference; Fuzzy rule base; Additive interpretation
Annotation in original language:
Inference mechanisms and interpretations of fuzzy rule bases are studied together from the point of view of systems of fuzzy relation equations. A proper use of an inference mechanism connected to a fuzzy relation interpreting a fuzzy rule base is certified by keeping the fundamental interpolation condition. The paper aims at new solutions of systems of fuzzy relation equations which are motivated by several fuzzy approximation methods. The study of this new solutions yields new solvability criteria which are introduced.
Annotation in english language:
Inference mechanisms and interpretations of fuzzy rule bases are studied together from the point of view of systems of fuzzy relation equations. A proper use of an inference mechanism connected to a fuzzy relation interpreting a fuzzy rule base is certified by keeping the fundamental interpolation condition. The paper aims at new solutions of systems of fuzzy relation equations which are motivated by several fuzzy approximation methods. The study of this new solutions yields new solvability criteria which are introduced.
References
Reference
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