The primary objective of this study is to identify the number of occupational accidents occurring in the Turkish textile sector, specifically within the domains of "textile manufacturing" and "apparel production." A comprehensive review of the literature reveals the absence of studies that analyze occupational health and safety risks in the Turkish textile industry using data from 2017 to 2023. To address this gap, a data-driven fuzzy logic modeling approach was applied to accident data obtained from the Social Security Institution of Turkey (SGK). The ultimate aim of the study is to forecast the number of fatal workplace accidents in the textile sector for the year 2024 data that has yet to be officially released based on historical data from 2017 to 2023. Fuzzy logic methods were employed as the forecasting technique. The validity of these predictions will be assessed once the 2024 accident data becomes available. Additionally, the article briefly reviews the application of fuzzy logic over the past eight years in estimating key occupational safety indicators such as the number of accidents, number of occupational diseases, and number of deaths.
KODALOĞLU et al. (Tue,) studied this question.