A STOCHASTIC EVALUATION FOR ACOUSTIC ENVIRONMENTAL SYSTEM BY INTRODUCING TWO TYPE INFORMATION PROCESSING METHODS BASED ON REGRESSION MODEL OF EXPANSION SERIES TYPE AND FUZZY PROBABILITY
Akira Ikuta, Mitsuo Ohta · Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications · 1995
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 types of information processing methods based on regression models using an expansion series type and Fuzzy probability. The effectiveness and validity of the proposed method are confirmed by applying it to the observed data in the actual sound environment.