Assessing Mobile and Smart Technology Applications for Active and Healthy Aging using a Fuzzy Collaborative Intelligence Approach-Reference-Cited by-同舟云学术

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Assessing Mobile and Smart Technology Applications for Active and Healthy Aging using a Fuzzy Collaborative Intelligence Approach

Published:2021-01-13 Issue:2 Volume:13 Page:431-446
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Chiu Min-Chi,Chen Toly^ORCID

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s12559-020-09810-9.pdf

Reference54 articles.

1. Ahmed F, Kilic K. Fuzzy analytic hierarchy process: a performance analysis of various algorithms. Fuzzy Sets Syst. 2019;362:110–28.

2. Beard JR, Officer A, De Carvalho IA, Sadana R, Pot AM, Michel JP, Lloyd-Sherlock P, Epping-Jordan JE, Peeters GMEE, Mahanani WR, Thiyagarajan JA, Thiyagarajan JA. The World report on ageing and health: a policy framework for healthy ageing. The Lancet. 2016;387(10033):2145–54.

3. Callari TC, Moody L, Magee P, Yang D. ‘Smart–not only intelligent!’ Co-creating priorities and design direction for ‘smart’ footwear to support independent ageing. Int J Fash Des Technol Educ. 2019;1–12.

4. Castillo JC, Castro-González Á, Fernández-Caballero A, Latorre JM, Pastor JM, Fernández-Sotos A, Salichs MA. Software architecture for smart emotion recognition and regulation of the ageing adult. Cognit Comput. 2016;8(2):357–67.

5. Chang PT, Hung KC. Applying the fuzzy-weighted-average approach to evaluate network security systems. Comput Math Appl. 2005;49(11–12):1797–814.

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