| Title of paper:
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Publication's assessment with intuitionistic fuzzy estimations
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| Author(s):
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| Sotir Sotirov
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| “Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd, Bourgas 8000, Bulgaria
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| ssotirov@btu.bg
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| Evdokia Sotirova
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| “Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd, Bourgas 8000, Bulgaria
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| esotirova@btu.bg
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| Ivelina Vardeva
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| “Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd, Bourgas 8000, Bulgaria
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| iveto@btu.bg
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| Beloslav Riečan
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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
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| riecan@mat.savba.sk , riecan@fpv.umb.sk
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| Presented at:
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8th IWIFS, Sofia, 9 October 2012
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| Published in:
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"Notes on Intuitionistic Fuzzy Sets", Volume 18 (2012) Number 4, pages 26—31
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| Download:
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 PDF (267 Kb, File info)
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| Abstract:
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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.
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| Keywords:
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Learning system, Data mining, Decision tree, Neural network.
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| AMS Classification:
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03E72.
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| References:
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