واکاوی توان سازگاری کشاورزان گندم کار در برابر ریزگردها (مورد مطالعه: شهرستان دهلران)

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3. Acosta, L.A., & Eugenio, J.M.A. (2014). Defuzzification of Fuzzy Concepts to Support Vulnerability Assessments ofClimate Change Impacts in the Philippines. Advances in Environmental Research, New York: Nova Science, 2014, 165-194 .
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8. Beaula, Th., & Partheeban, J. (2013). Risk Assessment of natural hazards in nagapattinam district using fuzzy logic model. International Journal of Fuzzy Logic Systems (IJFLS), 3(3), 
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10. CHeung, W.W. L., Pitcher, T.J., &Pauly, D. (2005). A fuzzy logic expert system to estimate intrinsic extinction vulnerabilities of marine fishes to fishing. Biological Conservation, 124, 97–111.

11. Cutter, S.L., Emrich, CH.T., Webb, J.J., & Morath, D. (2009).  Social Vulnerability to Climate Variability Hazards: A Review of the Literature. Hazards and Vulnerability Research Institute Department of Geography University of South Carolina Columbia, SC 29208.

12. Eakin, H., & Bojorquez-Tapia, L.A. (2008). Insights into the composition of household vulnerability from multicriteria decision analysis. Global Environmental Change, 18, 112–127.

13. Gentle, P., & Maraseni, T.N. (2012). Climate change, poverty and livelihoods: adaptation practices by rural mountain communities in Nepal. Environmental Science & Policy, 21 (2012) 24 – 34.

14. Hahn, M.B., Riederer, A.M., & Foster, S.O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change—A case study in Mozambique. Global Environmental Change, 19(1): 74-88.

15. Ingram, J.C., Franco, G., Rumbaitis-del rio, C., & Khazai, B. (2006). Post-disaster recovery dilemmas: challenges in balancing short-term and long-term needs for vulnerability reduction. Environmental Science & Policy, 9, 607– 613.

16. Ifeanyi-obi, C., Etuk, U.R., & Jike-wai, O. (2012). Climate Change, Effects and Adaptation Strategies; Implication for Agricultural Extension System in Nigeria, Greener Journal of Agricultural Sciences, 2(2), 53-60.

17. Khaledi, F. (2014).  Adaptive capacity  Analysis of wheat farmers against Climate change. (case study: Sarpolzohab township). M.Sc.Thesis,  Razi University (In Farsi).

18. Loayza, N.V., Olaberria, E., Rigolini, J., & CHristiaensen, L. (2012). Natural Disasters and Growth: Going Beyond the Averages. World Development, 40(7), 1317–1336.

19. Naseri, H.R., & Sarami nejad, F. (2011). Compare aquifer vulnerability assessment methods and fuzzy logic DRASTIC: A Case Study of Dashte gel gir Masjed Soleyman. Journal Natural Geography, 4(11),   (In Farsi).

20. Pelling, M. & Uitto, J.I. (2001). Small island developing states: natural disaster vulnerability and global change. Environmental Hazards, 3 (2001) 49–62.

21. Smit, B., & Wandel, J. (2006). Adaptation, adaptive capacity and vulnerability. Global Environmental Change, 16, 282–292.

22. Sivanandam, S.N., Sumathi, S., & Deepa, S.N. (2007). Introduction to Fuzzy Logic using Matlab. Springer-Verlag Berlin Heidelberg 2007.

23. Sahn Alizadeh, M., & Heidari, M.A. (2013). Study Of Monthly And Annual Trends In Number Of Dust Days (Abadan, Iran). The first international conference on Dust Haze, management of factors and consequences, lorestan university, 14-15- May 2013 (In Farsi).

24. Thwaites, R., Curtis, A., Mazur, N., & Race, D. (2008). Understanding rural landholder responses to climate change. Institute for Land, Water & Society Charles Strut University Report No. 48.

25. Ueda, M., Matsubatashi, T., & Sawada. Y. (2013). Natural disasters and suicide: Evidence from Japan. Social Science & Medicine, 82, 126-133.

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