A Fuzzy Rule-Based Engine to Predict Noise Annoyance
Subject Areas : Fuzzy Sets and SystemsRamin Zare 1 , Seyed Majid Alavi 2
1 - Department of Environment, Arak Branch, Islamic Azad University, Arak, Iran
2 - Mathematics department, Arak branch, Islamic Azad university-Arak-Iran
Keywords:
Abstract :
- Arslan A, Kaya M.Determination of fuzzy logic membershipfunctions using genetic algorithms. Fuzzy Sets Syst 2001;118:297 –306.
- EEA (European Environment Agency). Are we moving in the right direction? Indicators on transport and environmental integration in the EU: TERM 2000. Environmental issue report No 12. Indicator 4: traffic noise: exposure and annoyance. Copenhagen,Denmark: European Environment Agency, 2000.
- EEA (European Environment Agency), Europe's environment: the fourth assessment. State of the environment report No 1/2007. Chapter 2. Environment and health and the quality of life. Copenhagen, Denmark: European Environment Agency, 2007.
- Ehsanbakhsh, E., M Izadikhah, Applying BSC-DEA Model to performance evaluation of industrial cooperatives: an appliction of fuzzy inference system, Applied Research Journal, 2015, 1(1), 9-26
- Faulkner, J.-P., & Murphy, E. (2022). Estimating the harmful effects of environmental transport noise: An EU study. Science of The Total Environment, 811, 152313. doi:https://doi.org/10.1016/j.scitotenv.2021.152313
- Griefahn B, editor. ICBEN 2008. Proceedings of the 9th Congress of the International Commission on the Biological Effects of Noise. Noise as a Public Health Problem. Mashantucket, Connecticut, USA: IfADo; 2008. p. 556–61.
- Givargis Sh. (2009), A fuzzy expert system capable of computing LA, max for the Tehran–Karaj commuter train, Applied Acoustics 70 200–207.
- Guisan A, Zimmerman NE. Predictive habitat distribution models in ecology.Ecol Model 2000;135:147 –186.
- Izadikhah, M., Deriving weights of criteria from inconsistent fuzzy comparison matrices by using the nearest weighted interval approximation, Advances in Operations Research, 2012, 2012
- Izadikhah, M., A fuzzy goal programming based procedure for machine tool selection, Journal of Intelligent & Fuzzy Systems, 2015, 28(1), 361-372
- Zare, R., J Nouri, MA Abdoli, F Atabi, Application integrated fuzzy TOPSIS based on LCA results and the nearest weighted approximation of FNs for industrial waste management-aluminum industry: Arak-Iran, Indian Journal of Science and Technology, 2016, 9(2), 2-11
- Izadikhah, M., Modelling Bank Performance: A Novel Fuzzy Two-Stage DEA Approach, Fuzzy Information and Engineering, 2019, 11(2), 149-174
- Izadikhah, M., RF Saen, K Ahmadi, M Shamsi, How to use fuzzy screening system and data envelopment analysis for clustering sustainable suppliers? A case study in Iran, Journal of Enterprise Information Management, 2021, 34(1): 199-229. https://doi.org/10.1108/JEIM-09-2019-0262
- Izadikhah, M., Roostaee, R., Emrouznejad, A., Fuzzy Data Envelopment Analysis with Ordinal and Interval Data, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2021, 29 (3), 385-410
- Izadikhah, M., Azadi, M., Toloo, M., Hussain, F.K., Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach, Applied Soft Computing, 2021,113, 107879
- Paunović, K., Jakovljević, B., Belojević, G., Predictors of noise annoyance in noisy and quiet urban streets, Science of the Total Environment, 2009, 407 3707–3711
- Miedema HM. Annoyance caused by environmental noise: elements for evidence-based noise policies. J Soc Issues 2007; 63: 41–57.8
- Turksen, I., Interval valued fuzzy sets based on normal forms. Fuzzy Sets Syst. 1986, 20, 191–210.
- Ruiz-Padillo, A., Ruiz, D. P., Torija, A. J., & Ramos-Ridao, Á. Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model. Environmental Impact Assessment Review, 2016, 61, 8-18. doi:https://doi.org/10.1016/j.eiar.2016.06.003
- Sánchez Fernández, L. P., Environmental noise indicators and acoustic indexes based on fuzzy modelling for urban spaces. Ecological Indicators, 2021, 126, 107631. doi:https://doi.org/10.1016/j.ecolind.2021.107631
- Soni, A. R., Makde, K., Amrit, K., Vijay, R., & Kumar, R., Noise prediction and environmental noise capacity for urban traffic of Mumbai. Applied Acoustics, 2022, 188, 108516. doi:https://doi.org/10.1016/j.apacoust.2021.108516
- Sato T, Yano T, Björkman M, Rylander R. Road traffic noise annoyance in relation to average noise level, number of events and maximum noise level. J Sound Vib 1999; 223:775–84.
- Uzkent, B., Barkana, B. D., & Yang, J., Automatic environmental noise source classification model using fuzzy logic. Expert Systems with Applications, 2011, 38(7), 8751-8755. doi:https://doi.org/10.1016/j.eswa.2011.01.084
- Veronique A., Baetsb, B., Goethalsa, P., Fuzzy rule-based models for decision support in ecosystem management, The Science of the Total Environment, 2004, 319 1–12
- Wei Peng,Rene V. Mayorga, Assessing traffic noise impact based on probabilistic and fuzzy approaches under uncertainty, Stoch Environ Res Risk Assess, 2008, 22:541–550
- Weinstein ND. Individual differences in relation to noise: a longitudinal study in a college dormitory. J Appl Psychol 1978; 63: 458–66.
- WHO (World Health Organization). Environmental health indicators: development of a methodology for WHO European Region. Copenhagen, Denmark: World Health Organization, 2000.
- World Health Organization, Occupational and community noise. Fact sheet N_258, media centre, 2001.
- Xu, X., Ge, Y., Wang, W., Lei, X., Kan, H., & Cai, J., Application of land use regression to map environmental noise in Shanghai, China. Environment international, 2022, 161, 107111. doi:https://doi.org/10.1016/j.envint.2022.107111
- Zadeh, L. A., Fuzzy Sets. Information and Control, 1965, 8, 338–353.
- Zadeh, L. A., Fuzzy algoritmm. Information and Control, 1968, 12, 94–102.
- Zadeh, L. A., Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man and Cybernetics, SMC-3, 1973, 28–44.
- Zadeh, L. A., The concept of linguistic variable and its application to approximate reasoning, Information Sciences, 1975; 1, 2, 3, 199–249, 301– 357, 43–80.
- Zadeh, L. A., The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets and Systems, 1983; 2, 199–227.
- Zadeh, L. A., Fuzzy logic = computing with words. IEEE Transactions on Fuzzy Systems, 1996; 4, 103–111.
- Zadeh, L.A., Is there a need for fuzzy logic?, Information Sciences, 2008; 178 (13) 2751–2779
- Zaheeruddin & Jain, V. K., A fuzzy approach for modeling the effects of noise pollution on human performance. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2004; 8, 442–450.
- Zaheeruddin, & Jain, V. K., Fuzzy modelling of speech interference in noisy environment. In Proceedings of international conference on intelligent sensing and information processing (ICISIP-2005), Chennai, India, 2005; 4–7, 409–414.
- Zaheeruddin & Jain, V. K., A fuzzy expert system for noise-induced sleep disturbance. Expert systems with applications, 2006; 30(4), 761–771.
- Zaheeruddin Jain, V. K., & Singh, G.V., A fuzzy model for noiseinduced annoyance. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2006; 36, 697–705.
- Zaheeruddin A, V.K. Jain B., An expert system for predicting the effects of speech interference due to noise pollution on humans using fuzzy approach. Expert Systems with Applications, 2008; 35: 1978–1988
- Zannin PH, Calixto A, Diniz FB, Ferreira JA. A survey of urban noise annoyance in a large Brazilian city: the importance of a subjective analysis in conjunction with an objective analysis. Environ Impact Assess Rev 2003; 23:245–55.
- Zare, R., J Nouri, MA Abdoli, F Atabi, M Alavi, The integrated fuzzy AHP and goal programing model based on LCA results for industrial waste management by using the nearest weighted approximation of FN: aluminum industry in Arak, Iran, Advances in Materials Science and Engineering, 2016