The Quick Exposure Check (QEC) model proposal based on fuzzy logic for work-related musculoskeletal risk assessment

Yildiz Kose, Ayse Nur Karabayir*, Emre Cevikcan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Work-related musculoskeletal disorders (WMSDs) are one of the most common health problems in the community. Self-reports, observational methods, and direct measurements techniques are used to detect exposure and changes in exposure to risk factors for WMSD, especially in industrialized countries. By using these techniques to perform musculoskeletal risk analyzes, the health problems and disability of the employees will be prevented. The Quick Exposure Check (QEC) is a method used to quantify the risk of musculoskeletal risks, combining observations and participant notifications. The QEC is the basis for ergonomic regulations at work. It is also used to evaluate the effectiveness of any intervention. Fuzzy Logic has not yet been proposed for risk assessment in the QEC. In this context, this paper contributes to the relevant literature by means of developing a risk analysis. In this study the QEC technique based on Fuzzy Logic was used in risk assessments. In the case of the absence of crisp data in the exposure levels evaluation of observers and workers in the QEC technique, the classical evaluation ratings are insufficient. Therefore, fuzzy logic has been used for more sensitive results in linguistic evaluations.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
PublisherSpringer Verlag
Pages82-88
Number of pages7
ISBN (Print)9783030237554
DOIs
Publication statusPublished - 2020
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey
Duration: 23 Jul 201925 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1029
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/TerritoryTurkey
CityIstanbul
Period23/07/1925/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

  • Ergonomics
  • Fuzzy logic
  • Quick exposure check

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