An approach driven ranking system for risky gaits
Document Type
Article
Publication Date
7-15-2022
Abstract
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.
Keywords
Fall prevention, Risky gait, Interval-valued intuitionistic fuzzy sets, Entropy, Measured membership score, Ranking
Divisions
ai
Funders
UM GPF [Grant No: GPF099A-2020 & UM IIRG IIRG004B-19HWB],Universiti Malaya
Publication Title
Expert Systems with Applications
Volume
198
Publisher
Pergamon-Elsevier Science Ltd
Publisher Location
THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND