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

Yu-Cheng Lin, Yu-Cheng Wang, Tin-Chih Toly Chen and Hai-Fen Lin
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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

Mathematics, 2019, vol. 7, issue 11, 1-21

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.

Keywords: fall detection; smart technology; fuzzy collaborative intelligence; fuzzy technique for order preference by similarity to ideal solution; TOPSIS (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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