Natural Hazards

, Volume 75, Issue 1, pp 653–667 | Cite as

Application of fuzzy analytical hierarchy process for assessment of combating-desertification alternatives in central Iran

  • Mohammad Hassan Sadeghravesh
  • Hassan Khosravi
  • Soudeh Ghasemian
Original Paper

Abstract

No method exists to increase the efficiency of controlling projects and reclamation of disturbed lands and avoid investment wasting, considering different criteria and alternatives and presenting optimal alternatives based on systematic and group perspectives in combating desertification. Recent proposed alternatives are usually non-systematic and non-comprehensive according to a scientific view. There is no record of application of systematic models such as multiple attribute decision-making in combating desertification. Therefore, in the present research, a fuzzy analytical hierarchy process (FAHP) method has been used to offer optimal alternatives challenging desertification. In the present study, the opinions of experts about alternatives and criteria have been assessed using the Delphi method and pairwise comparison. Then, the final priorities of the alternatives were obtained by a fuzzy decision matrix and the FAHP model. The model’s ability in offering alternatives to combat desertification was assessed in the Khezr Abad region, Yazd province. Based on the obtained results, the alternative of groundwater harvesting modification with weighted average of 93 % was determined as the optimum alternative in the study area; other alternatives had no effective effect in control of desertification.

Keywords

Combating desertification Fuzzy analyses hierarchy process Multi-criteria decision-making Pairwise comparison 

References

  1. Asgharpour MJ (1992) Multiple criteria decision making. University of Tehran, Tehran, p 397Google Scholar
  2. Azar A, Faraj H (2003) Knowledge of fuzzy management. Tarbyat Modares University, TehranGoogle Scholar
  3. Azar A, Rajabzadeh A (2002) Applied decision making, 1st edn. Negahe Danesh, Tehran, p 185Google Scholar
  4. Bergamp Ger (1995) A hierarchical approach for desertification assessment. Environ Monit Assess 37:59–78CrossRefGoogle Scholar
  5. Buyukozkan G, Feyzioglu O (2004) A fuzzy-logic-based decision making approach for new product development. Int J Prod Econ 90:27–45CrossRefGoogle Scholar
  6. Cebeci U (2009) Fuzzy AHP-based decision support system for selecting ERP system in textile industry by using balanced scorecard. Expert Syst Appl 36:8900–8909CrossRefGoogle Scholar
  7. Chang DY (1996) Application of the extent analysis method on fuzzy AHP. Eur J Oper Res 95(3):649–655CrossRefGoogle Scholar
  8. Chutima P, Suwanfuji P (1998) Fuzzy analytical hierarchy process part routing in FMS. Thammasat Int J Sci Technol 3(2):29–74Google Scholar
  9. Dagdeviren M, Yuksel I (2008) Developing a analytical hierarchy process (AHP) model for behavior-based management. Inf Sci 178:1717–1733CrossRefGoogle Scholar
  10. Dagdeviren M, Yavuz S, Kilinc N (2009) Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst Appl 36:8143–8151CrossRefGoogle Scholar
  11. Dalkey N, Helmer O (1963) An experimental application of the Delphi method to the use of experts. Manag Sci 9(3):458–467CrossRefGoogle Scholar
  12. Ghodsi Pour SH (2002) Analytical hierarchy process (AHP). Amirkabir University, TehranGoogle Scholar
  13. Gordon TJ (1994) The Delphi method. American Council for the United, Washington, DCGoogle Scholar
  14. Kazemi Nejad A (1996) The study of sand dune movement. M.Sc. thesis, University of TehranGoogle Scholar
  15. Kong F, Liu H (2005) Applying fuzzy analytical hierarchy process to evaluate success factors of e-commerce. Int J Inf Syst Sci 1(3–4):406–412Google Scholar
  16. Laarhoven V, Pedrycz W (1983) A fuzzy extension of Saaty′s priority theory. Fuzzy Sets Syst 11(3):229–241Google Scholar
  17. Linstone HA, Turoff M (eds) (1975) The Delphi method: techniques and applications. Reading, MA: Addison-Wesley Publishing CompanyGoogle Scholar
  18. Meixner O (2009) Fuzzy AHP group decision analysis and its application for the evaluation of energy sources. In: Proceedings of the 10th international symposium on the analytic hierarchy/network process, Pittsburtgh/PA, USA, Nations UniversityGoogle Scholar
  19. Saaty TL (1980) The analytic hierarchy process. McGraw-Hill International, New YorkGoogle Scholar
  20. Saaty TL (1995) Decision making for leaders. The analytic hierarchy process for decisions in a complex Word.1995.1996 ed. completely revised. RWS Publications, PittsburghGoogle Scholar
  21. Sadeghi Ravesh MH (2008) The research of desertification effective factors in environmental destroy (case study: Khezr Abad Zone, Environmental Management thesis, Islamic Azad University, 395Google Scholar
  22. Sadeghi Ravesh MH, Ahmadi H, Zehtabian GH, Tahmores M (2010) Application of analytical hierarchy process (AHP) in assessment of de-desertification alternatives, case study: Khezrabad region, Yazd province. Marta Biaban J 17(1):35–50Google Scholar
  23. Schneier-Madanes G, Marie-Françoise C (2010a) Water and sustainability in arid regions. In: Ahmadi H, Nazari Samani AA, Malakian A (eds) The Qanat: a living history in Iran. Springer, Berlin, pp 125–139Google Scholar
  24. Schneier-Madanes G, Marie-Françoise C (2010b) Water and sustainability in arid regions. In: Zehtabian GH, Khosravi H, Ghodsi M (eds) High demand in a land of water scarcity: Iran. Springer, Berlin, pp 75–87Google Scholar
  25. Somerville JA (2007) Critical factors affecting the meaningful assessment of student learning outcomes: a Delphi study of the opinions of community college personnel. Unpublished doctoral dissertation, Oregon State University, Corvallis, ORGoogle Scholar
  26. Sredjevic B, Medeiros YDP (2008) Fuzzy AHP assessment of water management plans. Water Resour Manag 22:877–894CrossRefGoogle Scholar
  27. Sung WC (2001) Application of Delphi method, a qualitative and quantitative analysis, to the healthcare management. J Healthc Manag 2(2):11–20Google Scholar
  28. Zare A, Ahmadi Naseri SM (2008) Presentation of sustainability indicators with using of fuzzy AHP sensitivity analysis. In: Fuzzy and intelligent systems conference, Ferdosi University, MashhadGoogle Scholar
  29. Zhu KJ, Jing Y, Chang DY (1999) Theory and Methodology: A discussion on extent analysis method and applications of fuzzy AHP. Eur J Oper Res 116:450–456CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Mohammad Hassan Sadeghravesh
    • 1
  • Hassan Khosravi
    • 2
  • Soudeh Ghasemian
    • 2
  1. 1.Takestan Branch, Department of Environment, School of the AgricultureIslamic Azad UniversityTakestanIran
  2. 2.Department of Arid and Mountainous Reclamation Region, Faculty of Natural ResourcesUniversity of TehranTehranIran

Personalised recommendations