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Evaluating the Suitability of a Smart Technology Application for Fall Detection Using a Fuzzy Collaborative Intelligence Approach

Author

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  • Yu-Cheng Lin

    (Department of Computer-Aided Industrial Design, Overseas Chinese University, Taichung 40721, Taiwan)

  • Yu-Cheng Wang

    (Department of Aeronautical Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan)

  • Tin-Chih Toly Chen

    (Department of Industrial Engineering and Management, National Chiao Tung University, 1001, University Road, Hsinchu 30010, Taiwan)

  • Hai-Fen Lin

    (Electronic Systems Research Division, National Chung-Shan Institute of Science & Technology, Taoyuan County 32557, Taiwan)

Abstract

Fall detection is a critical task in an aging society. To fulfill this task, smart technology applications have great potential. However, it is not easy to choose a suitable smart technology application for fall detection. To address this issue, a fuzzy collaborative intelligence approach is proposed in this study. In the fuzzy collaborative intelligence approach, alpha-cut operations are applied to derive the fuzzy weights of criteria for each decision maker. Then, fuzzy intersection is applied to aggregate the fuzzy weights derived by all decision makers. Subsequently, the fuzzy technique for order preference by similarity to the ideal solution is applied to assess the suitability of a smart technology application for fall detection. The fuzzy collaborative intelligence approach is a posterior-aggregation method that guarantees a consensus exists among decision makers. After applying the fuzzy collaborative intelligence approach to assess the suitabilities of four existing smart technology applications for fall detection, the most and least suitable smart technology applications were smart carpet and smart cane, respectively. In addition, the ranking result using the proposed methodology was somewhat different from those using three existing methods.

Suggested Citation

  • Yu-Cheng Lin & Yu-Cheng Wang & Tin-Chih Toly Chen & Hai-Fen Lin, 2019. "Evaluating the Suitability of a Smart Technology Application for Fall Detection Using a Fuzzy Collaborative Intelligence Approach," Mathematics, MDPI, vol. 7(11), pages 1-21, November.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:11:p:1097-:d:286541
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    References listed on IDEAS

    as
    1. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    2. Yu-Cheng Wang & Tin-Chih Toly Chen, 2019. "A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example," Mathematics, MDPI, vol. 7(2), pages 1-15, February.
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    1. Hsin-Chieh Wu & Tin-Chih Toly Chen & Syuan Yu Wang, 2024. "Impact of the COVID-19 Pandemic on the Revenue of the Catering Industry: Taiwan as an Example," SAGE Open, , vol. 14(2), pages 21582440241, May.

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