• DocumentCode
    3272480
  • Title

    Comparison between traditional method and fuzzy neural network: The effect of RFID on quality of life

  • Author

    Huang, Jui-chen

  • Author_Institution
    Dept. of Health Bus. Adm., Hungkuang Univ., Taichung, Taiwan
  • Volume
    1
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    The radio frequency identification (RFID) technology has been drastically developed and improved for decades. Little research has been carried out to further explore the potential relationship between the RFID and Quality of life. The purpose of this research was to discuss users´ opinions on the use of RFID, its effect on their quality of life, and the relationship between perceived use and willingness of use. This study adopted Fuzzy Neural Network (FNN) to propose a feasible and effective analysis method, which is different from the previous method. The results indicate that the FNN method is better than the traditional method. On the other hand, the results showed the accessibility of medical care services has the greatest effects on the perceived effects of RFID on their quality of life, followed by the health promotion, overall living quality, financial burden, and safety. This finding may serve as a reference to future studies.
  • Keywords
    fuzzy neural nets; health care; radiofrequency identification; RFID; effective analysis method; fuzzy neural network; health promotion; medical care services; quality of life; radio frequency identification technology; Artificial neural networks; Educational institutions; Expert systems; Fuzzy neural networks; Organizations; Radiofrequency identification; Safety; Fuzzy Neural Network (FNN); Quality of life (QoL); RFID; Regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016688
  • Filename
    6016688