Fuzzy Expert System For Noise Induced Sleep Disturbance And Health Effects

In this paper an effort has been made to develop a fuzzy based model to study the impact of various noise factors on Sleep disturbance and Health. We thoroughly survey the existing literature and identify the deficiencies in the existing models in this field. We then identify various noise factors which can have the significant impact on Sleep and health. The MIMO Expert system developed in this paper gives sleep disturbance, health condition in the morning and health as output variables and noise level, short noise duration, long noise duration, age and Type of noise as the input variables. Appropriate fuzzification and defuzzification strategies have been used and the implementation in MATALAB 7.0.1 has been done. It has been established from work of various researchers that effect of meaningful noise like songs and talks affect sleep and health-conditions badly than meaningless noise like railway noise, roadside noise. Similarly other input variables affect sleep & health condition. These factors have been studied in this paper. The noise level and duration of noise, which are also the prominent factors in deciding effect on hearing output factor have been discussed, for e.g. a noise of low level does not have prominent affect on human being as of high level of noises..