An approach driven ranking system for risky gaits

• Main Authors: Jhawar, Abhishek, Lim, Chee Kau, Chan, Chee Seng
• Format: Article
• Published: Pergamon-Elsevier Science Ltd 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/42332/

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.