A survey on geographic classification of virgin olive oil with using T-operators in Fuzzy Decision Tree Approach
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- 作者：Efendi Nasibova ; b ; 1 ; efendi.nasibov@deu.edu.tr" class="auth_mail" title="E-mail the corresponding author ; Suzan Kantarcı Savaşa ; suzankantarci@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Alper Vahaplara ; alper.vahaplar@deu.edu.tr" class="auth_mail" title="E-mail the corresponding author ; Ayşe Ö ; vgü ; Kınaya ; ovgu.kinay@deu.edu.tr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Pattern classification ; Machine learning ; Fuzzy ID3 algorithm ; T-operators ; Geographic classification
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：2016
- 出版时间：15 July 2016
- 年：2016
- 卷：155
- 期：Complete
- 页码：86-96
- 全文大小：695 K
文摘
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Fuzzy ID3 method based on T-Operators is given for geographic classification.
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Fuzzy c-means algorithm is used for producing of fuzzy membership degrees
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The proposed fuzzy approach is examined with the standart version of it and C 4.5.
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The results of Fuzzy ID3 are statistically significant among the groups.
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Weber parametric operator has better results than all non-parameteric operators.