Evaluation of Valued Tolerance Rough Set and Decision Rules Method for WiFi-Based Indoor Localization in Different Environments
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4725-6_24
Reference11 articles.
1. Stefanowski, J., Tsoukiàs, A.: Valued tolerance and decision rules. In: Ziarko, W., Yao, Y. (eds.) Rough Sets and Current Trends in Computing. LNCS (LNAI), vol. 2005, pp. 212–219. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45554-X_25
2. DuongBao, N., He, J., Thi, L.N., NguyenHuu, K., Lee, S.-W.: A novel valued tolerance rough set and decision rules method for indoor positioning using WiFi fingerprinting. Sensors 22(15), 5709–5734 (2022)
3. Subedi, S., Pyun, J.-Y.: A survey of smartphone-based indoor positioning system using RF-based wireless technologies. Sensors 20(24), 7230–7262 (2020)
4. Roy, P., Chowdhury, C.: A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives. CCF Trans. Pervas. Comput. Interact. 4(3), 298–318 (2022). https://doi.org/10.1007/s42486-022-00089-3
5. Duong-Bao, N., He, J., Thi, L.N., Nguyen-Huu, K.: Analysis of distance measures for wifi-based indoor positioning in different settings. In: 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), pp. 1–7. IEEE (2022)
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