The physical work environment in any industry is dynamic and unpredictable. It highly influencing to the health, comfort and well being of the occupants. Work environmental condition can be evaluated by measuring four basic comfort parameters, which include thermal comfort, acoustic comfort, visual comfort and air change inside the working area. These parameters are the major contributing factors to the health of workers. Usage of heat and water in the different processes of textile dyeing and printing industry make the work environment hot and humid. Due to high thermal stress a wide range of disease and complications has been observed from mild disorder to heatstroke. Also, the high level of noise and the poor lighting condition has been impacting on the stress, absenteeism, turnover, production and output quality in the industry. Improper ventilation in the working area will affect the dispersion and dilution of the pollutants generated due to the processes. The parameters considered for evaluating comfort levels include wet bulb globe temperature index, illumination, noise and air changes in this study. Fuzzy rule base system approach had been used to predict worker’s health risk associated due to the impact of the work environment condition. The modeling process has been carried out with the help of MATLAB (R2014a) fuzzy tool box. Triangular membership function had been used for the input parameters. Linguistic variables were finalized by the expert opinion. Total 144 fuzzy rules had been developed based on the linguistic variable. Output obtain is in the terms of crisp value [0,1] is divided into four linguistic term low, moderate, high and very high. The study reveals that work environment condition in the textile dyeing and printing mills at various sections of the industry fall in the category of a high and very high risk condition because of prevailing poor work environmental condition at various locations. Thus, the workers working in these sections having very high potential to get the diseases related to a hot and humid environment.