Fuzzy TOPSIS Approach in Selection of Optimal Noise Barrier for Traffic Noise Abatement

• Autorzy: Garg N. , Vishesh , Maji S.

Identyfikatory

DOI

10.1515/aoa-2015-0045

• Języki publikacji: EN

Abstrakty

EN

The paper presents a retrospective study for selection of noise barrier for road traffic noise abatement. The work proposes the application of Fuzzy TOPSIS (Technique for order preference by similarity to an ideal solution) approach is selection of optimal road traffic noise barrier. The present work utilizes the fuzzy TOPSIS model proposed by Mahdavi et al. (2008) in determination of ranking order of various types of noise barriers with respect to the various criteria considered. It is suggested that application of this approach can be very helpful in selection and application of optimal noise barrier for road traffic noise abatement.

Słowa kluczowe

EN

fuzzy TOPSIS; MADM; road traffic noise; fuzzy positive ideal solution (FPIS); fuzzy negative ideal solution (FNIS); SWOT analysis

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2015
• Tom: Vol. 40, No. 4
• Strony: 453–--467
• Opis fizyczny: Bibliogr. 43 poz., rys., tab.

Twórcy

autor

Garg N.

• CSIR-National Physical Laboratory, New Delhi – 110012, India
• Department of Mechanical Production and Industrial Engineering, Delhi Technological University, Delhi – 110042, India

autor

Vishesh

• Amity School of Engg. and Technology, Bijwasan, Delhi – 110 061, India

autor

Maji S.

• Department of Mechanical Production and Industrial Engineering, Delhi Technological University, Delhi – 110042, India

Bibliografia

• 1. Behzadian M., Otaghsara S.K., Yazdani M., Ignatius J. (2012), A state-of the-art survey of TOP-SIS applications, Expert Systems with Applications, 39, 13051–13069.
• 2. Baulac M., Defrance J., Jean P. (2008), Optimization with genetic algorithm of acoustical performance of T-shaped noise barriers with a reactive top surface, Applied Acoustics, 69, 4, 332–342.
• 3. Cheng W.F., Ng C.F. (2001), The acoustic performance of an inclined barrier for high-rise residents, J. Sound and Vibration, 242, 2, 295–308.
• 4. Cianfrini C., Corcione M., Fontana L. (2007), Experimental verification of the acoustic performance of diffuse roadside noise barriers, Applied Acoustics, 68, 1357–1372.
• 5. Crombie D.H., Hothersall D.C., Chandler-Wilde S.N. (1995), Multiple-edge noise barriers, Applied Acoustics, 44, 4, 353–367.
• 6. Chiun-Ming Liu, Mei-Yu Ji, Wen-Chieh Chuang (2013), Fuzzy TOPSIS for Multiresponse Quality Problems in Wafer Fabrication Processes, Advances in Fuzzy Systems Volume, Article ID 496158, 6 pages.
• 7. Egan C.A., Chilekwa V., Oldham D.J. (2006), An investigation of the use of the top edge treatments to enhance the performance of a noise barrier using boundary element method, 13th International Congress on Sound and Vibration, Vienna, Austria, 1–6th July.
• 8. Daigle G.A. (1999), Report by the International Institute of Noise Control Engineering Working Party on Technical Assessment of the Effectiveness of Noise walls, I-INCE Publication 99-1, Noise/News International, 137–161.
• 9. Ding J.F. (2011), An integrated Fuzzy TOPSIS method for ranking alternatives and its application, Journal of Marine Science and Technology, 19, 4, 341–352.
• 10. Fahy F.J., Ramble D.G., Walker J.G., Sugiura M. (1995), Development of a novel modular form of sound absorbent facing for traffic noise barrier, Applied Acoustics, 44, 1, 39–51.
• 11. Fujiwara K., Hothersall D.C., Kim Chul-Hwan, (1998), Noise barriers with reactive surfaces, Applied Acoustics, 53, 4, 255–272.
• 12. Garg N., Kumar A., Maji S. (2013), Significance and implications of airborne sound insulation criteria in building elements for traffic noise abatement, Applied Acoustics, 74, 1429–1435.
• 13. Garg N., Sharma O., Mohanan V., Maji S. (2012), Passive noise control measures for traffic noise abatement in Delhi, India, Journal of Scientific and Industrial Research, 71, 226–234.
• 14. Garg N., Kumar A., Saini P.K., Maji S. (2015a), A retrospective view of ambient noise standards in India: Status and proposed revision, Noise Control Engg. Journal, 63, 3, May – June 20, 1–14.
• 15. Garg N., Mangal S.K., Saini P.K., Dhiman P., Maji S. (2015b), Comparison of ANN and analytical models in traffic noise modelling and predictions, Journal of Acoustic Australia, 43, 179–189.
• 16. Guidelines on design of noise barriers, SAR, 2nd issue (Environmental Protection Department, Highways Department, Govt. of Hongkong), Jan 2003.
• 17. Garai M., Guidorzi P. (2000), European methodology for testing the airborne sound insulation characteristics of noise barriers in situ: Experimental verification and comparison with laboratory data, J. of Acoustical society of America, 108, 3, 1054–1067.
• 18. Ho S.S.T., Busch-Vishniac I.J., Blackstock D.T. (1997), Noise reduction by a barrier having a random edge profile, J. of Acoustical society of America, 101, 2669–2676.
• 19. Highway Traffic Noise, federal Highway administration, US Deptt. of Transportation, http://www.fhwa. dot.gov/environment/noise/noise barriers/design construction/design/design04.cfm.
• 20. Hothersall D.C., Crombie D.H., Chandler-Wilde S.N. (1991), The performance of T-profile and associated noise barriers, Applied Acoustics, 32, 4, 269–287.
• 21. Hwang C.L., Yoon. K. (1981), Multiple Attribute Decision Making, Springer-Verlag, Berlin.
• 22. Hung C.C., Chen L.H. (2009), A Fuzzy TOPSIS Decision Making Model with Entropy Weight under Intuitionistic Fuzzy Environment, Proceedings of the International Multi Conference of Engineers and Computer Scientists 2009, Vol. I, IMECS 2009, March 18–20, 2009, Hong Kong.
• 23. Ishizuka T., Fujiwara K. (2004), Performance of noise barriers with various edge shapes and acoustic conditions, Applied Acoustics, 65, 2, 125–141.
• 24. Monazzam M.R., Ford S.M.B. (2011), Performance of passive and reactive profiled median barriers in traffic noise reduction, Journal of Applied Physics and Engineering (Zhejiang Univ. Sci A), 12, 1, 78–86.
• 25. Monazzam M.R., Naderzadeh M., Nassiri P., Fard S.M.B. (2010), Performance of environmental T-shape noise barriers covered with primitive root diffusers, Archieves of Acoustics, 35, 4, 565–578.
• 26. May D.N., Osman M.M. (1980), Performance of sound absorptive, reflective and T-profile noise barriers in Toronto, J. Sound and Vibration, 71, 1, 65–71.
• 27. Mahdavi I., Mahdavi-Amiri N., Heidarzade A., Nourifar R. (2008), Designing a model of fuzzy TOPSIS in multiple criteria decision making, Applied Mathematics and Computation, 206, 2, 607–617.
• 28. Mohanan V., Sharma O. (2001), Acoustical design of a noise barrier for an elevated rail corridor, J. Acoust. Soc. of India, 28, 95–100.
• 29. Ouis D. (2003), Noise diffraction by a hard wedge-shaped barrier, J. Sound and Vibration, 262, 2, 347–364.
• 30. Olson D.L. (2004), Comparison of weights in TOPSIS models, Mathematical and Computer Modelling, 40, 721–727.
• 31. Prascevic Z., Prascevic N. (2013), One modification of fuzzy TOPSIS method, Journal of Modelling in Management, 8, 81–102.
• 32. Ribeiro R.A. (1996), Fuzzy multiple attribute decision making: a review and new preference elicitation techniques, Fuzzy Sets and Systems, 78, 2, 155–181.
• 33. Shao W., Lee H.P., Lim S.P. (2001), Performance of noise barriers with random edge profiles, Applied Acoustics, 62, 10, 1157–1170.
• 34. Shih H.-S., Lin W.Y., Lee E.S. (2001), Group decision making for TOPSIS, [in:] Joint 9th IFSA World Congress and 20th NAFIPS International Conference, IFSA/NAFIPS 2001, 25–28 July, Vancouver, Canada, 2001, pp. 2712–2717.
• 35. Shih H.-S., Shyur H.J., Lee E.S. (2007), An extension of TOPSIS for group decision making, Mathematics and Computer Modelling, 45, 801–813.
• 36. Shahanaghi K., Yazdian S.A. (1999), Vendor selection using a new Fuzzy group TOPSIS approach, J. of Uncertain Systems, 3, 221–231.
• 37. Velasquez M., Hester P.T. (2013), An Analysis of Multi-Criteria Decision Making Methods, International Journal of Operations Research, 10, 2, 56–66.
• 38. Watts G.R., Morgan P.A., Surgand M. (2004), Assessment of diffraction efficiency of novel barrier profiles using a MLS-based approach, J. Sound and Vibration, 274, 3–5, 669–683.
• 39. Watson D. (2006), Evaluation of benefits and opportunities for innovative noise barrier designs, Final report 572, Arizona Department of Transportation.
• 40. Watts G.R. (2002), Barrier designs to reduce road traffic noise, Proceedings of the Institution of Civil Engineers, Transport, 153, 2, 79–86.
• 41. Watts G.R. (1996), Acoustic performance of parallel traffic noise barriers, Applied Acoustics, 47, 2, 95–119.
• 42. Yoon K.P., Hwang C.L. (1995), Multiple Attribute Decision Making: An Introduction, Sage Pub., Thousand Oaks, CA.
• 43. Yeh C.-H. (2002), A problem-based selection of multi-attribute decision-making methods, International Transactions in Operational Research, 9, 169–181.