Adaptive noise risk modelling: Fuzzy logic approach

16Citations
Citations of this article
33Readers
Mendeley users who have this article in their library.

Abstract

Recently, noise pollution has taken place as one of the most human health disorders. The main sources of noise are coming from human malpractices on reckless car driving and the use of loud speakers in different festivals at different places. Behavioural study explores that in many places the local usual road traffic noise level exceeds the normal standards. However, few people have adaptive capacity to ignore the effect of ambient noise pollution within considerable limits. Thus, in this article, we have developed an adaptive traffic noise model over the vulnerable society of a specific noise-prone zone. We develop a fuzzy logic to analyse the noise risk, and then it has been compared by the odds ratio of the experimental data. Moreover, we have considered the normality and non-normality in participation for various noise parameters, namely noise level, exposure time and affected age group of the people of a particular place as well. Finally, graphical illustrations are made for global justification of the model.

Cite

CITATION STYLE

APA

De, S. K., Swain, B. K., Goswami, S., & Das, M. (2017). Adaptive noise risk modelling: Fuzzy logic approach. Systems Science and Control Engineering, 5(1), 129–141. https://doi.org/10.1080/21642583.2017.1294118

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free