This research hopes to provide scientific research support for the optimization and development of the elderly health check application by studying the evaluation method of the elderly health check APP, so that the elderly users can easily enjoy the intelligent health check service. First, use the in-depth interview method and the affinity graph analysis method to extract the evaluation elements, and then use the comprehensive evaluation method that combines the analytic hierarchy process and the fuzzy theory to evaluate the health check APP for the elderly. The results show that in the evaluation research of the elderly health examination APP, the operation learning and information processing of the software are the most important. For the elderly, a health examination APP that can be used quickly and has clear and accurate information processing functions is the most satisfactory. When designing the elderly health check application program, the physical and mental factors of the elderly should be considered, taking the elderly as the center, and designing a health check application suitable for the elderly according to the characteristics of the elderly.
Citation: Lu-Ting Xia, Chun-Heng Ho, Xing-Min Lin. Evaluation of the elderly health examination app based on the comprehensive evaluation method of AHP-fuzzy theory[J]. Mathematical Biosciences and Engineering, 2021, 18(4): 4731-4742. doi: 10.3934/mbe.2021240
This research hopes to provide scientific research support for the optimization and development of the elderly health check application by studying the evaluation method of the elderly health check APP, so that the elderly users can easily enjoy the intelligent health check service. First, use the in-depth interview method and the affinity graph analysis method to extract the evaluation elements, and then use the comprehensive evaluation method that combines the analytic hierarchy process and the fuzzy theory to evaluate the health check APP for the elderly. The results show that in the evaluation research of the elderly health examination APP, the operation learning and information processing of the software are the most important. For the elderly, a health examination APP that can be used quickly and has clear and accurate information processing functions is the most satisfactory. When designing the elderly health check application program, the physical and mental factors of the elderly should be considered, taking the elderly as the center, and designing a health check application suitable for the elderly according to the characteristics of the elderly.
| [1] | Y. M. Chan, M. J. Pianta, A. M. McKendrick, Reduced audiovisual recalibration in the elderly, Front. Aging Neurosci., 6 (2014), 1-9. |
| [2] | J. Keogh, S. Morrison, R. Barrett, Age-related differences in inter-digit coupling during finger pinching, Eur. J. Appl. Physiol., 97 (2006), 6-88. |
| [3] |
A. G. Machado, P. A. D. L. Dornelles, F. M. D. Andrade, Depression and memory decline in the elderly, Temas Psicol., 25 (2017), 1829-1836. doi: 10.9788/TP2017.4-15
|
| [4] | Y. Zhao, X. Hu, D. Men, Design and research of health aids based on app in the elderly, in International Conference on Applied Human Factors and Ergonomics, Springer, Cham, (2018), 367-372. |
| [5] |
M. K. Curumsing, N. Fernando, M. A. Bdelrazek, Emotion-oriented requirements engineering: a case study in developing a smart home system for the elderly, J. Syst. Software, 147 (2019), 215-229. doi: 10.1016/j.jss.2018.06.077
|
| [6] |
A. Hussain, W. Rao, A. Silva, Health and emergency-care platform for the elderly and disabled people in the smart city, J. Syst. Software, 110 (2015), 253-263. doi: 10.1016/j.jss.2015.08.041
|
| [7] |
F. Ahmed, K. Kilic, Fuzzy analytic hierarchy process: a performance analysis of various algorithms, Fuzzy Sets Syst., 362 (2019), 110-128. doi: 10.1016/j.fss.2018.08.009
|
| [8] | Y. K. Fu, C. J. Wu, C. N. Liao, Selection of in-flight duty-free product suppliers using a combination fuzzy AHP, fuzzy ARAS, and MSGP methods, Math. Problems Eng., 2021 (2021), 1-13. |
| [9] |
L. Briggs, Shifting the focus of advance care planning: using an in-depth interview to build and strengthen relationships, J. Palliative Med., 7 (2004), 341. doi: 10.1089/109662104773709503
|
| [10] | R. M. Hallberg, U. Berggren, Oral health care-a low priority in nursing, in-depth interviews with nursing staff, Scand. J. Caring Sci., 14 (2013), 137-142. |
| [11] |
C. Macdougall, E. Fudge, Planning and recruiting the sample for focus groups and in-depth interviews, Qual. Health Res., 11 (2001), 117. doi: 10.1177/104973201129118975
|
| [12] |
P. Nicolson, J. Burr, What is normal about women'S (hetero) sexual desire and orgasm: a report of an in-depth interview study, Social Sci. Med., 57 (2003), 1735-1745. doi: 10.1016/S0277-9536(03)00012-1
|
| [13] |
H. Liu, X. Yang, L. J. Latecki, Dense neighborhoods on affinity graph, Int. J.Comput. Vision, 98 (2012), 65-82. doi: 10.1007/s11263-011-0496-1
|
| [14] | X. Wang, Y. Tang, S. Masnou, A global/local affinity graph for image segmentation, in IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 24 (2015), 399-411. |
| [15] |
T. Xia, J. Cao, Y. D. Zhang, On defining affinity graph for spectral clustering through ranking on manifolds, Neurocomputing, 72 (2009), 3203-3211. doi: 10.1016/j.neucom.2009.03.012
|
| [16] |
T. L. Saaty, Decision-making with the AHP: why is the principal eigenvector necessary, Eur. J. Operational Res., 145 (2003), 85-91. doi: 10.1016/S0377-2217(02)00227-8
|
| [17] |
M. Deviren, S. Yavuz, N. Kln, Weapon selection using the AHP and TOPSIS methods under fuzzy environment, Expert Syst. Appl., 36 (2009), 8143-8151. doi: 10.1016/j.eswa.2008.10.016
|
| [18] |
T. L. Saaty, Decision making--the analytic hierarchy and network processes (AHP/ANP), J. Syst. Sci. Syst. Eng., 13 (2004), 1-35. doi: 10.1007/s11518-006-0151-5
|
| [19] |
A. T. Gumus, Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology, Expert Syst. Appl., 36 (2009), 4067-4074. doi: 10.1016/j.eswa.2008.03.013
|
| [20] |
J. J. Buckley, The fuzzy mathematics of finance, Fuzzy Sets Syst., 21 (1987), 257-273. doi: 10.1016/0165-0114(87)90128-X
|
| [21] |
L. Běhounek, P. Cintula, From fuzzy logic to fuzzy mathematics: a methodological manifesto, Fuzzy Sets Syst., 157 (2006), 642-646. doi: 10.1016/j.fss.2005.10.011
|
| [22] | W. Jiang, L. Deng, L. Chen, Risk assessment and validation of flood disaster based on fuzzy mathematics, Prog. Nat. Sci.: Materials Int., 10 (2009), 1419-1425. |
| [23] | C. P. Li, G. X. Li, Y. M. Luo, Fuzzy mathematics-based groundwater quality evaluation of six MSW landfills in Beijing, Huanjing Kexue, 29 (2008), 2729-2735. |
| [24] | C. Ling, E. H. Jie, L. Z. Xiao-Zhu, Safety assessment of chemical industrial parks based on AHP-fuzzy comprehensive evaluation method, China Safety Sci. J., 18 (2008), 125-130. |
| [25] | Z. Zuo, S. Wu, G. Xu, Evaluation of ISO9001 implementation effectiveness based on Ahp-fuzzy comprehensive evaluation method, Boletin Tecnico/Tech. Bull., 55 (2017), 354-366. |
| [26] |
G. Zheng, N. Zhu, Z. Tian, Application of a trapezoidal fuzzy Ahp method for work safety evaluation and early warning rating of hot and humid environments, Safety Sci., 50 (2012), 228-239. doi: 10.1016/j.ssci.2011.08.042
|
| [27] | B. Diedenhofen, J. Musch, Cocron: a web interface and R package for the statistical comparison of cronbach's Alpha coefficients, Int. J. Int. Sci., 11 (2016), 51-60. |
Figures(2) / Tables(8)
Lu-Ting Xia, Chun-Heng Ho, Xing-Min Lin. Evaluation of the elderly health examination app based on the comprehensive evaluation method of AHP-fuzzy theory[J]. Mathematical Biosciences and Engineering, 2021, 18(4): 4731-4742. doi: 10.3934/mbe.2021240
DownLoad: