Prgramming expert systems in Modula-2
Prgramming expert systems in Modula-2
Structure identification of fuzzy model
Fuzzy Sets and Systems
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
A fuzzy model for noise-induced annoyance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Robust speech interaction in motorcycle environment
Expert Systems with Applications: An International Journal
A collaborative speech enhancement approach for speech recognition in motorcycle environment
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Approach to prediction of laser cutting quality by employing fuzzy expert system
Expert Systems with Applications: An International Journal
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In this paper, an attempt has been made to develop an expert system using fuzzy approach to investigate the effects of noise pollution on speech interference. The speech interference measured in terms of speech intelligibility is considered to be a function of noise level, distance between speaker and listener, and the age of the listener. The main source of model development is the reports of World Health Organization (WHO) and field surveys conducted by various researchers. It is implemented on Fuzzy Logic Toolbox of MATLAB using both Mamdani and Sugeno techniques. The results are found to be in good agreement with the findings of World Health Organization (WHO) and U.S. Environmental Protection Agency (EPA). The study reveals that for good communication at normal distances ('short' and 'medium') encountered in ambient environment, the noise level should not exceed 65dB(A) for 'young' and 'middle aged', and 55dB(A) for 'old' persons.