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

Content Provider	IEEE Xplore Digital Library
Author	Jui-Chen Huang
Copyright Year	2011
Description	Author affiliation: Department of Health Business Administration, HUNGKUANG University, Taiwan, ROC (Jui-Chen Huang)
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.
Starting Page	418
Ending Page	421
File Size	90520
Page Count	4
File Format	PDF
ISBN	9781457703058
ISSN	21601348
e-ISBN	9781457703089
DOI	10.1109/ICMLC.2011.6016688
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radiofrequency identification Fuzzy neural networks Artificial neural networks Safety Organizations Expert systems Educational institutions Regression RFID Fuzzy Neural Network (FNN) Quality of life (QoL)
Content Type	Text
Resource Type	Article

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