Fuzzy modelling of human work efficiency in noisy environment

Author

Zaheeruddin ; Singh, G.V. ; Jain, V.K.

Author_Institution

Dept. of Electr. Eng., Jamia Millia Islamia, New Delhi, India

Volume

1

fYear

2003

Firstpage

120

Abstract

In this paper, an attempt has been made to develop a fuzzy model for determining the work efficiency of humans as a function of noise level, exposure time, and the type of task. The modelling technique is based on the concept of fuzzy logic, which offers a convenient way of representing the relationships between the inputs and outputs of a system in the form of IF-THEN rules. The model has been developed on the basis of literature surveys and implemented on Fuzzy Logic Toolbox of MATLAB®. We have compared our model results with the deduction based on the criterion of Safe Exposure Limit recommended for general industrial workers.

Keywords

fuzzy logic; inference mechanisms; knowledge based systems; modelling; noise (working environment); occupational safety; productivity; IF-THEN rules; exposure time; fuzzy logic; fuzzy model; fuzzy rule based systems; human work efficiency; inference engine; knowledge-based algorithm; noise level; safe exposure limit; task type; Engines; Fuzzy logic; Fuzzy systems; Humans; Inference algorithms; Knowledge based systems; Mathematical model; Noise level; Noise reduction; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on

Print_ISBN

0-7803-7810-5

Type

conf

DOI

10.1109/FUZZ.2003.1209348

Filename

1209348