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Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn


Urban Environmental Management Performance Assessment by Fuzzy Analytical Hierarchy Processing (FAHP)

Journal of Environmental Accounting and Management 2(1) (2014) 31--41 | DOI:10.5890/JEAM.2014.03.003

Manouchehr Omidvari; Maryan Ghandehari

Industrial and Mechanical Engineering Faculty, Islamic Azad University, Qazvin Branch, Qazvin, Iran

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Abstract

In recent decades, the world’s population growth and concentration in mega cities have caused several environmental, social and economic problems. Environment management audit has always been considered as a major challenge in urban management. Providing an appropriate model for the raters makes their personal judgments routinely minimized and obtains a more realistic assessment of the present situation. Using Fuzzy Analytical Hierarchy Processing and collating it with audit programs can help them to achieve this goal. In the present research study, using stand- ards, the environmental indices have been determined in urban manage- ment and then using Fuzzy Analytical Hierarchy Processing method, the weight and importance level of the indices have been set and the evalua- tion pattern was presented. The present study was conducted with the aim of presenting a model for auditing the environment and one of Tehran’s municipality regions was selected to do a case study. The results showed that the most important problems in the field of environmental manage- ment in a megacity like Tehran are in areas such as transport and traffic management, waste-water installation and solid waste management which have been unsatisfactory in some areas under study. Applying the pro- posed model has provided urban management with the possibility to iden- tify weaknesses of its collection and remove discrepancies by investing in the issue and causing a continuous improvement of the environment in their management zone.

Acknowledgments

We appreciate Islamic Azad University Qazvin Branch for creating the survey and assessment possibility. We also thank Dr. Hassan Halleh because of his guidance in doing this study.

References

  1. [1]  Atafar, A., Shahrabi, M.A., and Esfahani, M.J. (2013), Evaluation of university performance using BSC and ANP, Decision Science Letters, 2, 305-311.
  2. [2]  Gamelin, F.X., Baquet, G., Berthoin, S., Thevenet, D., Nourry, C., Nottin, S., and Bosquet, L. (2009), Effect of high intensity intermittent training on heart rate variability in prepubescent children, European Journal of Applied Physiology, 105, 731-738.
  3. [3]  Hu, A.H., Hsu, C.W., Kuo, T.C., and Wu, W.C. (2009), Risk evaluation of green components to hazardous substance using FMEA and FAHP, Expert Systems with Applications, 36(3), 7142-7147.
  4. [4]  Chen, Q. and Triantaphyllou, E. (2001), Estimating Data for Multi-criteria Decision Making Problems: Optimization Techniques, In: Pardalos, P.M., and Floudas, C., (Eds.), Encyclopedia of Optimization, 2, 27-36.
  5. [5]  Javadian, M., Shamskooshki, H., and Momeni, M. (2011), Application of sustainable urban development in environmental suitability analysis of educational land use by using AHP and GIS in Tehran, Procedia Engineering, 21, 72-80.
  6. [6]  Kaya, T. and Kahraman, C. (2011), An integrated fuzzy AHP-ELECTRE methodology for environmental impact assessment, Expert Systems with Applications, 38(7), 8553-8562.
  7. [7]  Li, L., Shi, Z., Yin, W., Zhu, D., Ng, S., Cai, C.F., and Lei, A. (2009), A fuzzy analytic hierarchy process (FAHP) approach to ecoenvironmental vulnerability assessment for the Danjiangkou reservoir area, China, Ecological Modeling, 220(23), 3439-3447.
  8. [8]  Mau-Crimins, T., De-Steiguer, J.E., and Dennis, D. (2005), AHP as a means for improving public participation: A pre–post experiment with university students, Forest Policy and Economics, 7, 501-514.
  9. [9]  Monitto, M., Pappalardo, P., and Tolio, T. (2012), A new fuzzy AHP method for the evaluation of automated manufacturing systems, CRIP-Annals Manufacturing Technology, 51(1), 395-398.
  10. [10]  Nouri, J., Mansouri, N., Abbaspour, M., Karbasi, A.R., and Omidvari, M. (2011), Designing a developed model for assessing the disaster induced vulnerability value in educational centers, Safety Science, 49(5), 679-685.
  11. [11]  Nouri, J., Omidvari, M., and Tehrani, S.M. (2010), Risk assessment and crisis management in gas stations. International Journal of Environmental Research, 4(1), 143-152.
  12. [12]  Saati, M., Mamariani, A., and Jahanshahloo, G.R. (2002), Efficiency analysis and ranking of DMUs with fuzzy data, find out how to access preview-only content, Fuzzy Optimization and Decision Making, 1(3), 255-267.
  13. [13]  Saaty, T.L. (1996), The Analytic Network Process-Decision Making with Dependence and Feedback, Pittsburgh, PA: RWS Publications.
  14. [14]  Yang, M., Khan, F., and Sadiq, R. (2011), Prioritization of environmental issues in offshore oil and gas operations: A hybrid approach using fuzzy inference system and fuzzy analytic hierarchy process, Process Safety and Environmental Protection, 89(1), 22-34.
  15. [15]  Zheng, G., Zhu, N., Tian, Z., Chen, Y., and Sun, B. (2012), Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments, Safety Science, 50(2), 228-239.