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

  • Yildiz Kose
  • , Ayse Nur Karabayir*
  • , Emre Cevikcan
  • *Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
YayınlayanSpringer Verlag
Sayfalar82-88
Sayfa sayısı7
ISBN (Basılı)9783030237554
DOI'lar
Yayın durumuYayınlandı - 2020
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey
Süre: 23 Tem 201925 Tem 2019

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim1029
ISSN (Basılı)2194-5357
ISSN (Elektronik)2194-5365

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot23/07/1925/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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