DocumentCode
1751006
Title
Fuzzy modeling of traffic noise annoyance
Author
Verkeyn, A. ; Botteldooren, D. ; De Tre, Guy ; De Caluwe, R.
Author_Institution
Dep of Inf. Technol., Ghent Univ., Belgium
Volume
2
fYear
2001
fDate
25-28 July 2001
Firstpage
1176
Abstract
This paper presents a fuzzy rule-based model for the prediction of traffic noise annoyance. Several inference schemes are compared for their performance in prediction capabilities as well as in speed. It is shown that the fastest implementation does an equally good job, after optimization of certainty degrees attached to the rules. For this optimization, a genetic algorithm is applied
Keywords
forecasting theory; fuzzy logic; genetic algorithms; model-based reasoning; noise pollution; traffic; certainty degree optimization; fuzzy rule-based model; genetic algorithm; inference scheme performance; speed; traffic noise annoyance prediction; Acoustic noise; Noise level; Noise measurement; Predictive models; Psychoacoustic models; Psychology; Rail transportation; Roads; Traffic control; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.944772
Filename
944772
Link To Document