Analysis of decision rules for grate-kiln system based on rough set theory

被引:0
|
作者
Zhao, Debao [1 ]
Xu, Lin [1 ]
Wang, Jianhui [1 ]
Gu, Shusheng [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China
关键词
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In the grate-kiln pelletizing production process, the pyrology institution adjustment and control of the grate-kiln system is of utmost important. In order to extract simple and effective decision rules from original datum, the method based on rough set theory is proposed to counter the specific characters of complicated control object, intercoupling of all parameters and difficult establishment of accurate mathematic model. Through the reducing analysis of decision table formed by some typical process parameters in production process, the control rules under different production conditions are induced to enable the grate-kiln system to follow the change of the forgoing process sections, thus ensuring the system under good conditions at all times.
引用
收藏
页码:1426 / 1429
页数:4
相关论文
共 50 条
  • [41] Mathematical models and expert system for grate-kiln process of iron ore oxide pellet production. Part II: Rotary kiln process control
    Fan Xiao-hui
    Wang Yi
    Chen Xu-ling
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2012, 19 (06) : 1724 - 1727
  • [42] Heuristic genetic algorithm for minimal reduct in decision system based on rough set theory
    Dai, JH
    Li, YX
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 833 - 836
  • [43] Performance Analysis of Networked control system Based on Rough Set Theory
    Wang, JiHua
    Dong, Ling
    Bai, Yan
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS, 2009, : 608 - +
  • [44] Induction of expert system rules from databases based on rough set theory and resampling methods
    Tsumoto, S
    Tanaka, H
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 1995, 934 : 399 - 400
  • [45] The Decision-making Method of Pavement Maintenance Based on Rough Set Theory and Set Pair Analysis
    Zhang, H. L.
    Wang, Y.
    Huang, S. G.
    INTERNATIONAL CONFERENCE ON ADVANCES IN MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY (AMEIT 2015), 2015, : 724 - 733
  • [46] Mathematical models and expert system for grate-kiln process of iron ore oxide pellet production. Part II: Rotary kiln process control
    Xiao-hui Fan
    Yi Wang
    Xu-ling Chen
    Journal of Central South University, 2012, 19 : 1724 - 1727
  • [47] Decision Making Based on Rough Set Theory and Weight Value
    Xu, E.
    Shao, Liangshan
    Yang, Fang
    Qu, Tao
    Gu, Xincai
    NANOTECHNOLOGY AND COMPUTER ENGINEERING, 2010, 121-122 : 275 - +
  • [48] On modal and fuzzy decision logics based on rough set theory
    Fan, TF
    Liau, CJ
    Yao, YY
    FUNDAMENTA INFORMATICAE, 2002, 52 (04) : 323 - 344
  • [49] A contribution to decision tree construction based on rough set theory
    Liu, XM
    Huang, HK
    Xu, WX
    ROUGH SETS AND CURRENT TRENDS IN COMPUTING, 2004, 3066 : 637 - 642
  • [50] A NEW DECISION TREE ALGORITHM BASED ON ROUGH SET THEORY
    Han, Sang Wook
    Kim, Jae Yearn
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2008, 4 (10): : 2749 - 2757