• DocumentCode
    2326339
  • Title

    Establishment Decision Rules for Turnover of Nursing Staff - Applying Rough Set Theory

  • Author

    Fang, Chung-Hsiung ; Chang, Sue-Ting ; Chen, Guan-Li

  • Author_Institution
    Grad. Inst. of Ind. Technol. Educ., Nat. Taiwan Normal Univ.
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The research investigated the rules relevant with leaving reasons and personal characteristic variables of nursing staff by rough set theory (RST). RST can discover the important facts hidden in the data and describe them with natural language. That is it can describe the information provided by researchers in a broad sense and delete the redundant part of original data for the decision rules setting. It is expected the research can establish rules related with leaving reasons and personal characteristics variables of nursing staff. The study conducted analysis on 458 persons´ data that include six attributes - age, marriage status, education, seniority, service department and dimission reasons to propose concerned suggestions and comments based on the research result as reference for Hospital A and other hospitals as well as relevant academic institutions.
  • Keywords
    medical administrative data processing; personnel; rough set theory; decision rule; natural language; nursing staff; rough set theory; Education; Educational technology; Hospitals; Human resource management; Medical services; Natural languages; Quality management; Recruitment; Set theory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and Information System Security, 2009. EBISS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2909-7
  • Electronic_ISBN
    978-1-4244-2910-3
  • Type

    conf

  • DOI
    10.1109/EBISS.2009.5137976
  • Filename
    5137976