Fuzzy Soft Set for Rock Igneous Clasification

被引：0

作者：

Yanto, Iwan Tri Riyadi ^{[1
]}

Sutoyo, Edi ^{[2
]}

Apriani, Ani ^{[3
]}

Verdiansyah, Okki ^{[3
]}

机构：

[1] Univ Ahmad Dahlan, Dept Informat Syst, Yogyakarta 55161, Indonesia

[2] Telkom Univ, Dept Informat Syst, Bandung 40257, West Java, Indonesia

[3] Sekolah Tinggi Teknol Nas, Sleman 55281, Yogyakarta, Indonesia

来源：

2018 INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT INFORMATICS (SAIN) | 2018年

关键词：

soft set; fuzzy soft set; classification; igneous rocks; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Rock classification is one of the fundamental tasks in geological studies. This process normally requires a human expert to examine a sample the rocks. In this research, we employ machine learning algorithm, called Fuzzy Soft Set Classifier (FSSC) to classify igneous rock which based on their chemical composition. This algorithm is hybridization of soft set theory and fuzzy for classifying numerical data. The results showed that the Fuzzy Soft Set Classifier is capable of precise classification of igneous rocks and achieved satisfactory result in terms of accuracy, precision and recall, respectively.

引用

页码：199 / 203

页数：5

共 17 条

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