An approach driven ranking system for risky gaits

Jhawar, Abhishek and Lim, Chee Kau and Chan, Chee Seng (2022) An approach driven ranking system for risky gaits. Expert Systems with Applications, 198. ISSN 0957-4174, DOI

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With the increase of fall incidents in emergency cases and expenditures in the healthcare sector, fall prevention has become a very important study. The aim of this paper is to develop a ranking system to capture the risky gaits to aid in the reduction of fall incidents. With this, an approach driven framework under the interval valued intuitionistic fuzzy environment is developed for decision making. The proposed framework is validated by experimental data and is seen to be effective and reliable. It is applied to risky gaits and a ranking is obtained based on the mindset one chooses. Technically, we also extended the entropy measure to incorporate the hesitancy factor to interval-valued region where a new measuring function is introduced. We believe that the proposed system will provide a better support for rehabilitation arrangements.

Item Type: Article
Funders: UM GPF [Grant No: GPF099A-2020 & UM IIRG IIRG004B-19HWB], Universiti Malaya
Uncontrolled Keywords: Fall prevention; Risky gait; Interval-valued intuitionistic fuzzy sets; Entropy; Measured membership score; Ranking
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 11 Oct 2023 08:24
Last Modified: 11 Oct 2023 08:24

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