Hybrid fuzzy k-nearest neighbour technique for assessing the level of interior acoustics in vehicle cabin
by Ahmad Kadri Junoh
International Journal of Vehicle Noise and Vibration (IJVNV), Vol. 11, No. 3/4, 2015

Abstract: Interior acoustical comfort in the cabin is an element that may attract customers before they purchase a vehicle. In order to assess certain level of acoustical comfort, many studies have been performed in order to identify and classify acoustics level. Since a passenger may find it difficult to express the level of experienced noise numerically, a model of hybrid fuzzy k-nearest neighbour is used to classify the qualitative noise level into a few categories of annoyance levels. Later, the classifier of the linear discriminant analysis was used in order to validate the results produced. The finding of the studies on the developed model is able to assess the level of acoustics by classifying them into numerical scales that are meaningful for assessment.

Online publication date: Sat, 05-Mar-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Noise and Vibration (IJVNV):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com