• DocumentCode
    2044451
  • Title

    Soft Rough Sets with Applications to Demand Analysis

  • Author

    Feng, Feng ; Liu, Xiaoyan

  • Author_Institution
    Dept. of Appl. Math. & Appl. Phys., Xi´´an Inst. of Posts & Telecommun., Xi´´an
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The theory of rough sets was initiated by Pawlak in 1982. Later on, Molodtsov proposed the concept of a soft set, which can be seen as a new mathematical approach to vagueness. The present paper aims to combine the soft set approach with rough set theory, which gives rise to the new concepts of soft approximation spaces, soft rough approximations and soft rough sets. We investigate some basic properties of soft rough approximations and introduce several related notions. Moreover, we discuss applications of soft rough sets to demand analysis with an illustrating example.
  • Keywords
    approximation theory; rough set theory; demand analysis; soft approximation spaces; soft rough approximations; soft rough sets; Artificial intelligence; Biomedical engineering; Data engineering; Environmental economics; Mathematics; Physics; Rough sets; Set theory; Signal analysis; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5073114
  • Filename
    5073114