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
  • [21] Brain tumor detection using optimisation classification based on rough set theory
    T. Rajesh
    R. Suja Mani Malar
    M. R. Geetha
    Cluster Computing, 2019, 22 : 13853 - 13859
  • [22] Classification and rule induction using rough set theory
    Beynon, M
    Curry, B
    Morgan, P
    EXPERT SYSTEMS, 2000, 17 (03) : 136 - 148
  • [23] Application of Rough Set Theory on Scene Image Classification
    Wang, Xiaoling
    Liu, Nianzu
    Xie, Kanglin
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 2338 - 2342
  • [24] Uncertain Data Classification Using Rough Set Theory
    Suresh, G. Vijay
    Reddy, E. Venkateswara
    Reddy, E. Srinivasa
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS 2012 (INDIA 2012), 2012, 132 : 869 - +
  • [25] Anonymizing classification data using rough set theory
    Ye, Mingquan
    Wu, Xindong
    Hu, Xuegang
    Hu, Donghui
    KNOWLEDGE-BASED SYSTEMS, 2013, 43 : 82 - 94
  • [26] Rough set and rough classification based on imperfect information systems
    Wang, J
    Liang, JY
    PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 437 - 440
  • [27] Rough mereology: A rough set paradigm for unifying rough set theory and fuzzy set theory
    Polkowski, L
    FUNDAMENTA INFORMATICAE, 2003, 54 (01) : 67 - 88
  • [28] Rough Set Based Approach to Text Classification
    Zhang, Libiao
    Li, Yuefeng
    Sun, Chao
    Nadee, Wanvimol
    2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY - WORKSHOPS (WI-IAT), VOL 3, 2013, : 245 - 252
  • [29] Web document classification based on rough set
    Duan, Qiguo
    Miao, Duoqian
    Chen, Min
    ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, PROCEEDINGS, 2007, 4482 : 240 - +
  • [30] A rough set based hybrid approach for classification
    Hussein, Ahmed Saad
    Li, Tianrui
    Jaber, Noora Sabah
    Yohannese, Chubato Wondaferaw
    DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT, 2018, 11 : 683 - 690