Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector

Lukic, Jelena; Misita, Mirjana; Milanović, Dragan; Borota-Tišma, Ankica; Janković, Aleksandra

doi:10.3390/math10183268

Cited by 1 publication

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“…So, special attention should be paid to the design of armrests as well as the environment and interpersonal relationships. Accordingly, the designers can make significantly better judgments if they look at each pair of risk factors, as proposed in [43].…”

Section: Discussionmentioning

confidence: 99%

Validating Measurement Structure of Checklist for Evaluating Ergonomics Risks in Heavy Mobile Machinery Cabs

et al. 2022

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Heavy mobile machinery cabs and their equipment are still not well adjusted to operators, so it is not surprising that we are still witnessing huge consequences of accidents at sites where they operate. The checklist with 39 questions, based on the previous research, is formed, and its’ measurement structure has been tested on the sample of 102 transport, construction, and mining machines, including cranes, excavators, bucket wheel excavators, bulldozers, loaders, graders, backhoe loaders, trenchers, dump trucks, and scrapers by correlation analysis, Cronbach’s alpha, Spearman-Brown and Kendall’s W coefficient, exploratory factor analysis, and confirmatory factor analysis. The results validate the measurement structure of a checklist with only 17 items and five constructs. The results show that special attention should be put to the design of armrests and working conditions/exhaust gases, which are negatively correlated to cab interior space and task visibility. All other correlations between seat characteristics, the characteristics of armrests, whole-body vibration influences, reaching commands, the characteristics of cab interior space and environments, and interpersonal relationships are positive, which means that improvements to one area lead to improvements in another. Accordingly, the proposed model should be used for the fast, efficient, and cost-effective evaluation of ergonomics risks and as a guideline for further cab design improvements.

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Section: Discussionmentioning

confidence: 99%