Ranking Inter-basin Water Resources Projects Using Fuzzy Multiple Attribute Group Decision Making Method

Document Type : Original Article

Authors

1 M.S. student, Department of water structures, College of Agriculture, University of Tarbiat Modares, Tehran, Iran, Po.Box 14115-33

2 Associate professor, Department of water structures, College of Agriculture, University of Tarbiat Modares, Tehran, Iran.

3 M.S. Environment and Water Research Center, Ministry of Energy, Tehran, Iran.

Abstract

Dealing with Water Scarcity is one of the important probleme in water resources management. There is no one of financial capability to execute all the water resources projects in one lot, so it is important to rank execution projects. In this study, one of the fuzzy multiple attribute decision making methods was employed for ranking some of the inter-basin water transfer projects, by using different critaria and modifying the Raj and Kumar method for both benefit and cost critaria conditions. The approach has been applied to the Karun river basin. For ranking alternatives, first critaria and their weight were determined and then 10 inter-basin water resources projects of Karun river with 8 critaria were considered. The weight of each criterion determined by 5 water resources experts. The fuzzy weights of alternatives are computed by using standard fuzzy arithmatic. The concept of maximizing snd minimizing sets are used to computed the total utility of each of alternatives. Finally, the results of maximizing and minimizing method were compared to FDM software. 

Keywords

References

Adamo, J. M. (1980), “Fuzzy decision trees,”  Fuzzy sets and systems, 4, pp. 207-219.
Chen, S. J. and Hwang, C. L. (1992), Fuzzy multiple attribute decision making: methods and applications, Springer-Verlage.
Ardakanian, R. and Zarghami, M. (2004), “Sustainability criteria for ranking of water resources projects,” First  National Conference of Water Resources Management, IRWRA: Iranian Water Resources Association,Tehran, Iran.
Chen, S. J. (1985), “Ranking of fuzzy numbers with maximizing set and minimizing set,”  Fuzzy Sets and Systems, 17, pp. 113-129.
Duboise, D. and Prade, H. (1983), “Ranking fuzzy numbers in the setting of possibility theory,” Information Sciences, 30, pp. 183-224.
Jain, R. (1977), “A procedure for multiple-aspects decision making using fuzzy set,” Int. Journal of Systems Science, 8, pp. 1-7.
Raju, S. K., Duckstien, L. and Arondel, C. (2000), “Multicreterion Analysis for Sustainable Water Resources planning : A Case Study in Spain,” Water Resources Managemen, 14, pp. 435-456.
Raj, A. P. and Kumar, N. D. (1998), “Ranking multi-criterion river basin planning alternatives using fuzzy numbers,”Fuzzy Sets and Systems, 100, pp. 89-99.
Raj, A. P. and Kumar, N. D. (1999), “Ranking Alternatives with Fuzzy weights using Maximizing set and Minimizing set,” Fuzzy Sets and Systems, 105, pp. 365-375.
Yager, R. R. (1980), “On a General Class of Fuzzy Connectives,” Fuzzy Sets and Systems, 4, pp. 235-242.
Zadeh, L. A. (1965), “Fuzzy Sets,” Information & Control, 8, pp. 338-353.
Zarghaami, M. (2005), “Uncertain Criteria in RankingInter-basin Water Transfer Projects in Iran,” 73 rd Annual Meeting of ICOLD,Tehran, 180-S1.
 
Iran-Water Resources Research
Volume 3, Issue 2
June 2007
Pages 1-9

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History

  • Receive Date: 11 September 2006
  • Revise Date: 29 May 2007
  • Accept Date: 29 October 2007

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