A STOCHASTIC EVALUATION OF ACTUAL SOUND ENVIRONMENT BASED ON TWO TYPE INFORMATION PROCESSING METHODS--THE USE OF EXPANSION SERIES TYPE REGRESSION AND FUZZY PROBABILITY

In the actual sound environment, the random signal often shows a complex fluctuation pattern apart from a standard Gaussian distribution. In this study, an evaluation method for the sound environmnetal system is proposed in the generalized form applicable to the actual stochastic phenomena, by introducing two type information processing methods based on the regression model of expansion series type and the Fuzzy probability. The effectiveness of the proposed method are confirmed experimentally too by applying it to the observed data in the actual noise environment.