Publ3 search

Z6_60GI02O0O8IDC0QEJUJ26TJDI4

Error:

Javascript is disabled in this browser. This page requires Javascript. Modify your browser's settings to allow Javascript to execute. See your browser's documentation for specific instructions.

Publikační činnost

Probíhá načítání, čekejte prosím...

Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	A Novel Approach to Weighted Fuzzy Rules for Positive Samples
Citace	Daňková, M. A Novel Approach to Weighted Fuzzy Rules for Positive Samples. In: IJCCI2022: Proceedings of the 14th International Joint Conference on Computational Intelligence 2022 Valletta. SCITEPRESS - Science and Technology Publications, 2022. s. 209-216. ISBN 978-989-758-611-8.

Subtitle
Publication year:	2022
Obor:	Obecná matematika
Number of pages:	8
Page from:	209
Page to:	216
Form of publication:	Elektronická verze
ISBN code:	978-989-758-611-8
ISSN code:
Proceedings title:	Proceedings of the 14th International Joint Conference on Computational Intelligence
Proceedings:	Mezinárodní
Publisher name:	SCITEPRESS - Science and Technology Publications
Place of publishing:	Neuveden
Country of Publication:	Sborník vydaný v zahraničí
Název konference:	IJCCI2022
Místo konání konference:	Valletta
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
WoS code:
EID:	2-s2.0-85146199063

Key words in English:	Fuzzy Relation, Relational Model, Fuzzy Approximation, Implicative Model, Fuzzy IF-THEN Rules
Annotation in original language:	In this contribution, we propose a novel approach to automated fuzzy rule base generation based on underlying observational data. The core of this method lies in adding information to a particular fuzzy rule in the form of attached weight given as a value extracted from a relational data model. In particular, we blend two approaches to receive particular models that overcome their specific drawbacks.
Annotation in english language:

References

Reference

R01:	RIV/61988987:17610/22:A2302I04

Complementary Content

${loading}