Prediction of probability distribution for the psychological evaluation of noise in the environment based on fuzzy theory

被引：0
|
作者：
Ikuta, Akira [1 ,4 ]
Ohta, Mitsuo [2 ,4 ]
Siddique, M.N.H. [3 ]
机构：
[1] Department of Management Information Systems, Prefectural University of Hiroshima, 1-1-71 Ujina-Higashi, Minamiku, Hiroshima, 734-8558, Japan
[2] Hiroshima University, Emeritus, 1105, 1-7-10 Matoba, Hiroshima, 732-0824, Japan
[3] School of Computing and Intelligent Systems, University of Ulster at Magee, Londonderry BT48 7JL, United Kingdom
[4] International Institute of Acoustics and Vibration (IIAV)
来源：
International Journal of Acoustics and Vibrations | 2005年 / 10卷 / 03期
关键词：
Acoustic waves - Data acquisition - Fuzzy sets - Probability distributions - Statistical methods - Street traffic control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
It is necessary for the statistical evaluation of noise in the environment to find the relationship between the sound level fluctuation of environmental noise and its human response. In this paper, the psychological methods for evaluating noise in the environment are discussed theoretically by introducing fuzzy theory. More specifically, two types of methods for predicting the probability distributions of the sound level and noise annoyance are proposed. Furthermore, by applying the proposed theory to actual road traffic noise data, the effectiveness of the theory is confirmed experimentally.
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页码：107 / 114
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