A fuzzy model for noise-induced annoyance

This paper proposes a novel approach for modeling noise-induced annoyance using the fuzzy technique. The fuzzy approach offers a convenient way of representing the relationships between the inputs and outputs of a system in the form of simple IF-THEN rules. Annoyance, in the present model, is considered as a function of noise level, its duration of occurrence, and the socioeconomic status of a person. The model has been implemented on the Fuzzy Logic Toolbox of MATLAB, using both Mamdani and Sugeno techniques. The results of the model are applicable to the urban areas of India

[1]  E. H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..

[2]  W. Pedrycz,et al.  Control problems in fuzzy systems , 1982 .

[3]  Henk M. E. Miedema.  Annoyance caused by two noise sources , 1985 .

[4]  R. Job.  Community response to noise: A review of factors influencing the relationship between noise exposure and reaction , 1988 .

[5]  R.F.S. Job,et al.  Over-reaction to changes in noise exposure: The possible effect of attitude , 1988 .

[6]  Harry S. Koelega.  Environmental annoyance : characterization, measurement, and control : proceedings of the International Symposium on Environmental Annoyance, held at the Conference Centre Woudschoten, the Netherlands, 15-18 September 1986 , 1987 .

[7]  Takashi Yano,et al.  GUIDELINES FOR REPORTING CORE INFORMATION FROM COMMUNITY NOISE REACTION SURVEYS , 1997 .

[8]  G H Pandya.  Urban Noise – A Need for Acoustic Planning , 2001, Environmental monitoring and assessment.

[9]  T. J. Schultz.  Synthesis of social surveys on noise annoyance. , 1978, The Journal of the Acoustical Society of America.

[10]  J. Fields.  Effect of personal and situational variables on noise annoyance in residential areas , 1993 .

[11]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[13]  A H MCCALLUM,et al.  NOISE AND ITS EFFECTS. , 1965, British medical journal.

[14]  S Fidell,et al.  Aircraft noise annoyance at three joint air carrier and general aviation airports. , 1985, The Journal of the Acoustical Society of America.

[15]  H M Miedema,et al.  Exposure-response relationships for transportation noise. , 1998, The Journal of the Acoustical Society of America.

[16]  Michio Sugeno,et al.  A fuzzy-logic-based approach to qualitative modeling , 1993, IEEE Trans. Fuzzy Syst..

[17]  Lotfi A. Zadeh,et al.  Soft computing and fuzzy logic , 1994, IEEE Software.

[18]  Linda M. Luxon,et al.  Noise and its effects , 2007 .

[19]  A. L. Brown,et al.  Responses to an increase in road traffic noise , 1987 .

[20]  Thomas Lindvall,et al.  Measurement of annoyance due to exposure to environmental factors: The fourth Karolinska institute symposium on environmental health☆ , 1973 .

[21]  Birgitta Berglund,et al.  A study of response criteria in populations exposed to aircraft noise , 1975 .

[22]  Andrew A. Goldenberg,et al.  Development of a systematic methodology of fuzzy logic modeling , 1998, IEEE Trans. Fuzzy Syst..

[23]  R. Tong.  SYNTHESIS OF FUZZY MODELS FOR INDUSTRIAL PROCESSES-SOME RECENT RESULTS , 1978 .

[24]  Ignacio Requena,et al.  Are artificial neural networks black boxes? , 1997, IEEE Trans. Neural Networks.

[25]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[26]  Mehmet Kaya,et al.  Determination of fuzzy logic membership functions using genetic algorithms , 2001, Fuzzy Sets Syst..

[27]  Fred L. Hall,et al.  Direct comparison of community response to road traffic noise and to aircraft noise , 1981 .

[28]  M. Gupta,et al.  Solution of multivariable fuzzy equations , 1987 .

[29]  Ronald R. Yager,et al.  Essentials of fuzzy modeling and control , 1994 .

[30]  Liangchi Zhang,et al.  A methodology for fuzzy modeling of engineering systems , 2001, Fuzzy Sets Syst..

[31]  Sanford Fidell,et al.  UPDATING A DOSAGE-EFFECT RELATIONSHIP FOR THE PREVALENCE OF ANNOYANCE DUE TO GENERAL TRANSPORTATION NOISE , 1991 .

[32]  Madan Gupta,et al.  Multivariable Structure of Fuzzy Control Systems , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[33]  Sanford Fidell,et al.  Variability in the criterion for reporting annoyance in community noise surveys , 1991 .

[34]  Miguel Arana,et al.  A social survey on the effects of environmental noise on the residents of Pamplona, Spain , 1998 .

[35]  M. B. Beck,et al.  Fuzzy control of the activated sludge wastewater treatment process , 1980, Autom..

[36]  E. B. Magrab,et al.  Environmental Noise Control , 1975 .

[37]  Witold Pedrycz.  Identification in fuzzy systems , 1984, IEEE Transactions on Systems, Man, and Cybernetics.