Cover Image

An approach driven ranking system for risky gaits

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 drive...

Full description

Saved in:
Bibliographic Details
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/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.42332
record_format eprints
spelling my.um.eprints.423322023-10-11T08:24:34Z http://eprints.um.edu.my/42332/ An approach driven ranking system for risky gaits Jhawar, Abhishek Lim, Chee Kau Chan, Chee Seng QA75 Electronic computers. Computer science 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. Pergamon-Elsevier Science Ltd 2022-07-15 Article PeerReviewed 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 https://doi.org/10.1016/j.eswa.2022.116747 <https://doi.org/10.1016/j.eswa.2022.116747>. 10.1016/j.eswa.2022.116747
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Jhawar, Abhishek
Lim, Chee Kau
Chan, Chee Seng
An approach driven ranking system for risky gaits
description 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.
format Article
author Jhawar, Abhishek
Lim, Chee Kau
Chan, Chee Seng
author_facet Jhawar, Abhishek
Lim, Chee Kau
Chan, Chee Seng
author_sort Jhawar, Abhishek
title An approach driven ranking system for risky gaits
title_short An approach driven ranking system for risky gaits
title_full An approach driven ranking system for risky gaits
title_fullStr An approach driven ranking system for risky gaits
title_full_unstemmed An approach driven ranking system for risky gaits
title_sort approach driven ranking system for risky gaits
publisher Pergamon-Elsevier Science Ltd
publishDate 2022
url http://eprints.um.edu.my/42332/
_version_ 1781704628799275008
score 13.211869

Similar Items