Merging Partial Fuzzy Rule-Bases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA21025EI" target="_blank" >RIV/61988987:17610/20:A21025EI - isvavai.cz</a>
Result on the web
<a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=6jbK%2fJPKf24%3d&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=6jbK%2fJPKf24%3d&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0010058302430251" target="_blank" >10.5220/0010058302430251</a>
Alternative languages
Result language
angličtina
Original language name
Merging Partial Fuzzy Rule-Bases
Original language description
We propose two basic ways of merging various partial fuzzy rule-bases containing knowledge related to the same process or dependency in general. The knowledge that is not at the disposal is considered undefined and encoded using some dummy value. For simplicity, we use only one code for undefined membership value, and we handle the undefined membership values using operations of variable-domain fuzzy set theory, i.e., the theory that allows fuzzy sets to have undefined membership values. Moreover, we study one of the essential properties in fuzzy modeling--a graded property of functionality. We provide estimations for degrees of the functionality of input models and merged models of partial fuzzy rule-bases.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GA20-07851S" target="_blank" >GA20-07851S: Fuzzy relational structures in approximate reasoning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th International Joint Conference on Computational Intelligence
ISBN
978-989-758-475-6
ISSN
2184-2825
e-ISSN
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Number of pages
9
Pages from-to
243-251
Publisher name
SCITEPRESS
Place of publication
Portugal
Event location
online streaming
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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