Classification of Volcanic Rocks based on Rough Set Theory

被引:0
|
作者
Shaaban, Shaaban M. [1 ,2 ]
Tawfik, Sameh Z. [3 ]
机构
[1] Northern Border Univ, Dept Elect Engn, Ar Ar, Saudi Arabia
[2] Menoufia Univ, Dept Basic Sci Engn, Menoufia, Egypt
[3] Nucl Mat Author, Res Div, Dept Petrog Studies, Cairo, Egypt
关键词
decision rules; information loss-discretization; rough set; volcanic rocks;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Classification of volcanic rocks is a fundamental task in the geologic studies. Volcanic rocks are igneous rocks that cooled rapidly above the surface of the Earth's crust. They are classified according to their oxide chemical content. Furthermore, volcanic rocks can also be classified numerically by statistical means. But these methods are mostly dependent on human expert decision making and have a high cost. In this paper, a novel approach in the classification of volcanic rocks is proposed. This method is based on the rough set mathematical theory. The continuous data of the information system are firstly discretized using the information loss method. Secondly, the discretized decision table is reduced and the decision rule sets are extracted. The results are consistent with previous methods and show that the proposed method reduces time and calculation costs.
引用
收藏
页码:5501 / 5504
页数:4
相关论文
共 50 条
  • [31] Rough set classification based on quantum logic
    Hassan, Yasser F.
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2017, 29 (06) : 1325 - 1336
  • [32] Spatial data classification based on rough set
    Shi, Yun
    Sun, Yufang
    Zuo, Chun
    Ruan Jian Xue Bao/Journal of Software, 2000, 11 (05): : 673 - 678
  • [33] Rough Set Based Learning-for Classification
    Ishii, Naohiro
    Yamada, Takahiro
    Bao, Yongguang
    20TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL 2, PROCEEDINGS, 2008, : 97 - +
  • [34] Data classification based on tolerant rough set
    Kim, D
    PATTERN RECOGNITION, 2001, 34 (08) : 1613 - 1624
  • [35] Rough set based classification of interferometric images
    Cyran, KA
    Jaroszewicz, LR
    INTERFEROMETRY IN SPECKLE LIGHT: THEORY AND APPLICATIONS, 2000, : 413 - 420
  • [36] A rough set paradigm for unifying rough set theory and fuzzy set theory
    Polkowski, L
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2003, 2639 : 70 - 77
  • [37] A novel weighting formula and feature selection for text classification based on rough set theory
    Hu, QH
    Yu, D
    Duan, YF
    Bao, W
    2003 INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, PROCEEDINGS, 2003, : 638 - 645
  • [38] Rough-Set-Theory-Based Classification with Optimized k-Means Discretization
    Dwiputranto, Teguh Handjojo
    Setiawan, Noor Akhmad
    Adji, Teguh Bharata
    TECHNOLOGIES, 2022, 10 (02)
  • [39] Research on Mining Classification Rules of Spare Parts Based on Grey Rough Set Theory
    Li Bo
    Zhang Ruifang
    ADVANCES IN MECHANICAL ENGINEERING, PTS 1-3, 2011, 52-54 : 1638 - 1643
  • [40] Generalizing rough set theory through dominance-based rough set approach
    Greco, S
    Matarazzo, B
    Slowinski, R
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS, 2005, 3642 : 1 - 11