Regression analysis based on linguistic associations and Perception-based Logical Deduction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1701F9F" target="_blank" >RIV/61988987:17610/17:A1701F9F - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.eswa.2016.08.053" target="_blank" >http://dx.doi.org/10.1016/j.eswa.2016.08.053</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eswa.2016.08.053" target="_blank" >10.1016/j.eswa.2016.08.053</a>
Alternative languages
Result language
angličtina
Original language name
Regression analysis based on linguistic associations and Perception-based Logical Deduction
Original language description
We propose a new generalized model of linguistic variables based on fuzzy partition and its subpartitions. We use this new model for mining relationships between linguistic variables (linguistic associations) from a data set. These relationships can be interpreted as fuzzy IF-THEN rules in the implicative fuzzy inference engine, which is an extended version of the implicative inference called Perception-based Logical Deduction. We show that our extension leads to statistically significant improvements with respect to the previous model used with the help of original and successful Perception-based Logical Deduction. We perform the comparison with different measures of rule quality and five datasets. We can obtain improvements in prediction precision while retaining the interpretability of the models. We also compare our method with the classical machine learning methods and obtain a similar quality of precision, which is very encouraging because interpretability usually leads to worse precision.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10101 - Pure mathematics
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
EXPERT SYSTEMS WITH APPLICATIONS
ISSN
0957-4174
e-ISSN
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Volume of the periodical
67
Issue of the periodical within the volume
Leden
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
107-114
UT code for WoS article
000386861600010
EID of the result in the Scopus database
2-s2.0-84989204336