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Issue:Publication's assessment with intuitionistic fuzzy estimations

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Title of paper: Publication's assessment with intuitionistic fuzzy estimations
Author(s):
Sotir Sotirov
“Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd, Bourgas 8000, Bulgaria
ssotirov@btu.bg
Evdokia Sotirova
“Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd, Bourgas 8000, Bulgaria
esotirova@btu.bg
Ivelina Vardeva
“Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd, Bourgas 8000, Bulgaria
iveto@btu.bg
Beloslav Riečan
Faculty of Natural Sciences, Matej Bel University, Tajovského 40, SK-974 01 Banská Bystrica
Mathematical Institute of Slovak Acad. of Sciences, Štefánikova 49, SK-81473 Bratislava
riecan@mat.savba.skriecan@fpv.umb.sk
Presented at: 8th IWIFS, Sofia, 9 October 2012
Published in: Conference proceedings, "Notes on IFS", Volume 18 (2012) Number 4, pages 26—31
Download:  PDF (267  Kb, Info)
Abstract: In the paper we investigate how to apply some data mining techniques for clustering and classification the assessment of the different publications and articles. For this aim we propose to use neural network and decision tree to analyze given collection of data. We use the Intuitionistic fuzzy estimation as an input vector for the self organizing map that gives us 6 clusters. To predict the next data we must have the rules that can be obtained from the decision tree.
Keywords: Learning system, Data mining, Decision tree, Neural network.
AMS Classification: 03E72.
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