Fuzzy Logic Method for Assessment of Noise Exposure Risk in an Industrial Workplace

  • Rostam Golmohammadi Department of Occupational Hygiene, School of Public Health and Center for Health Research, Hamadan
  • Mahbobeh Eshaghi Department of Occupational Hygiene, School of Public Health, Hamadan University of Medical Sciences,
  • Mehdi Reyahi Khoram Department of Environmental Engineering, Islamic Azad University- Hamadan Branch, Iran.
Keywords: Noise exposure, Fuzzy logic, Assessment method, Industrial workplace


At present, conventional methods of noise exposure assessment utilize in industrial workplaces. In the classical area assessment method, noise exposure assessment depends on sound pressure level measurement results that expressed numerically and indicated  harmful areas. This paper proposes an exposure assessment method of occupational noise based on Fuzzy sets. The noise assessment by Fuzzy logic method involves the primary investigation of the workplace, determined inputs and output variables, Fuzzification, Fuzzy rules, Fuzzy inference method and Defuzzification. This assessment method considered a function consists of Noise level, the number of exposed workers, exposure duration and noise reverberation time. Suggested method makes possible to evaluate unconsidered cases in order to assess of noise exposure risk. Fuzzy logic assessment results are more useful and flexible for analysis than conventional assessment. Fuzzy logic provides the opportunity to obtain risk model of noise exposure based on noise parameters, dimension of workplace and human perceptions.


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How to Cite
Golmohammadi R, Eshaghi M, Reyahi Khoram M. Fuzzy Logic Method for Assessment of Noise Exposure Risk in an Industrial Workplace. ijoh. 3(2):49-5.