• DocumentCode
    3590837
  • Title

    A New Reduction Algorithm Based on 0-1 Distinguish Matrix

  • Author

    Yuan, Junpeng ; Zhu, Donghua ; Wang, Shengde

  • Author_Institution
    Sch. of Public Policy & Manage., Tsinghua Univ., Beijing
  • Volume
    1
  • fYear
    0
  • Firstpage
    4297
  • Lastpage
    4301
  • Abstract
    Reduct is an important concept introduced by rough sets theory, and seeking the minimum reduction (MR) is a NP-hard problem. This paper is to present a novel reduction algorithm to search the optimal solution for MR. Firstly, a new 0-1 distinguish matrix was presented to describe the differences among the attributes. And an integer optimization model was built for the MR problem based on the matrix. Then by designing search operators and parameters suitably, we proposed a homogeneous simulated annealing reduction algorithm to solve the MR problem. Finally, the empirical analysis result on the micro-electromechanical systems (MEMS) field show that the SA algorithm is feasible and efficient
  • Keywords
    computational complexity; integer programming; matrix algebra; rough set theory; search problems; simulated annealing; NP-hard problem; data mining; distinguish matrix; integer optimization model; microelectromechanical systems; minimum reduction; rough sets theory; search operators; simulated annealing reduction algorithm; Algorithm design and analysis; Delta modulation; Electronic mail; Microelectromechanical systems; Micromechanical devices; NP-hard problem; Public policy; Rough sets; Simulated annealing; Technology management; 0-1 distinguish matrix; data mining; reduct; rough sets; simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713186
  • Filename
    1713186