Preaggregation Functions: Construction and an Application
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00458801" target="_blank" >RIV/67985556:_____/16:00458801 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TFUZZ.2015.2453020" target="_blank" >http://dx.doi.org/10.1109/TFUZZ.2015.2453020</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TFUZZ.2015.2453020" target="_blank" >10.1109/TFUZZ.2015.2453020</a>
Alternative languages
Result language
angličtina
Original language name
Preaggregation Functions: Construction and an Application
Original language description
In this paper, we introduce the notion of preaggregation function. Such a function satisfies the same boundary conditions as an aggregation function, but, instead of requiring monotonicity, only monotonicity along some fixed direction (directional monotonicity) is required.We present some examples of such functions. We propose three different methods to build preaggregation functions. We experimentally show that in fuzzy rule-based classification systems, when we use one of these methods, namely, the one based on the use of the Choquet integral replacing the product by other aggregation functions, if we consider the minimum or the Hamacher product t-norms for such construction, we improve the results obtained when applying the fuzzy reasoning methods obtained using two classical averaging operators such as the maximum and the Choquet integral.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Fuzzy Systems
ISSN
1063-6706
e-ISSN
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Volume of the periodical
24
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
260-272
UT code for WoS article
000373948000002
EID of the result in the Scopus database
2-s2.0-84963861009