A Stochastic Evaluation for an Acoustic Environmental System by Introducing Two Types of Information Processing Methods Based on Regression Models of an Expansion Series Type and Fuzzy Probability

Abstract

In this study, an evaluation method for the acoustic environmental 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 acoustic environment.