Fuzzy modeling of traffic noise annoyance

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2, Issue , 2001, Pages 1176-1181

  Verkeyn, A ^a   Botteldooren, D ^a   De Tre, G ^a   De Caluwe, R ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION;

FUZZY RULE BASED MODEL; TRAFFIC NOISE ANNOYANCE;

FUZZY SETS;

EID: 0035792650     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. K. Kryter, The handbook of hearing and the effects of noise, Academic Press, 1994
2. H. Miedema, H. Vos, "Demographic and attitudinal factors that modify annoyance from transportation noise", J. Acoust. Soc. Am, 105 (6), 1999, pp. 3336-3344
3. H. Miedema, H. Vos, "Exposure-response relationships for transportation noise", J. Acoust. Soc. Am., 104 (6), 1998, pp. 3432-3445
4. P. Lercher, G. Brauchle, U. Widmann, "The interaction of landscape and soundspace in the Alpine area of Tyrol: an annoyance perspective", Proc. of Internoise, Florida, USA, December 1999, pp. 1347-1350
5. O. Cordon, M.J. del Jesus, F. Herrera, "A proposal on reasoning methods in fuzzy rule based classification systems", Int. J. of Approximate Reasoning, 20, 1999, pp. 21-45
6. U. Felscher-Suhr, R. Guski, R. Schuemer, Proc. of Noise Effects, 1998, pp. 733-736
7. S. Medasani, J. Kim, R. Krishnapuram, "An overview of membership function generation techniques for pattern recognition, Int. J. of Approximate Reasoning, 19, 1998, pp. 391-417
8. A. Verkeyn, M. De Cock. D. Botteldooren, E. Kerre, "Generating membership functions for a Noise Annoyance model from experimental data", accepted for publication in: Soft computing in measurement and information acquisition, ed. L. Reznik, V. Kreinovich, Springer-Verlag
9. L.A. Zadeh, "Fuzzy sets as a basis for a theory of possibility", Fuzzy Sets and Systems, 1, 1978, pp. 3-28
10. D. Dubois, H. Prade, "Fuzzy sets in approximate reasoning, Part I: Inference with possibility distributions", Fuzzy Sets and Systems, 40, 1991, pp. 143-202
11. D. Dubois, H. Prade, "What are fuzzy rules and how to use them", Fuzzy Sets and Systems, 84, 1996, pp. 169-185
12. D. Dubois, L. Foulloy, S. Galichet, H. Prade, "Performing approximate reasoning with words?", In: Computing with words in Information/Intelligent Systems 1: Foundations, ed. L. A. Zadeh, J. Kacprzyck, Physica-Verlag, 1999
13. D. Goldberg, Genetic algorithms in search, optimisation and machine learning, Addison-Wesley, 1989
14. GAlib documentation and binaries: http://lancet.mit.edu/ga/
15. R. Jager, Fuzzy logic in control, Ph.D. dissertation, TU Delft, 1995
16. D. Botteldooren, A. Verkeyn, P. Lercher, "Extracing linguistic rules to model community traffic noise annoyance", Proc. of Internoise, Nice, France, August 2000 (on CD-ROM)
17. D. Botteldooren, A. Verkeyn, P. Lercher, "What can classical and fuzzy concepts contribute to the analysis of masking effects in environmental noise surveys?", Proc. of Noise Con, California, USA, December 2000 (on CD-ROM)