Application of Fuzzy Simple Additive weighting method for land evaluation for determination preservation land use in parcel A of Gheshlagh dam watershed in Kurdistan province, Western Iran

Subject Areas : environmental management

Fazlollah  Ahmadi Mirghaed ¹ (Environment Graduate Student, Faculty of Natural resources, University of Kurdistan)
Babak  Souri ² (Assistant professor, Department of environment, Faculty of Natural resources, University of Kurdistan.)
Mahtab  Pir Bavaghar ³ (- Assistant professor, Department of forestry, Faculty of Natural resources, University of Kurdistan)

Received: 2010-10-13 Accepted : 2011-04-19 Published : 2014-12-22

Keywords: Land evaluation, Spatial multi criteria decisio, Preservation, FSAW,

Abstract :

Introduction and purpose: Land resources preservation is necessary to decrease environmental impact by human activities. There are various kinds of decision making methods to organize land resources preservation plans. In this study Fuzzy Simple Additive Weighting (FSAW) was applied for zoning parts of the study area which need to be preserved against any kind of land use. Materials and methods: At first, data collection was conducted and the effective criteria to decide preservation plans were defined and weighted based on verbal variables and triangular fuzzy number system. Finally, maps overlaid based on FSAW method for study area evaluation.  Results: final classification of the study area showed that land classes for high, medium and low degree of priorities to apply preservation measures occupied 35, 58 and 8 percent of the study area, respectively. Discussion and conclusion: The results approved that suitability of a land is classifiable for various types of land uses using FSAW. Also according to the results; central and southern parts of the study area were in most need for preservation measures since intensive uses of land were mostly concentrated in those parts

References:

1. مخدوم، مجید، «شالوده آمایش سرزمین»، چاپ ششم، انتشارات دانشگاه تهران، 1384، 289 ص.


2. مخدوم، مجید. درویش صفت، علی اصغر. جعفرزاده، هورفر و مخدوم، عبدالرضا.، «ارزیابی و برنامه ریزی محیط زیست با سامانه های اطلاعات جغرافیایی (GIS)»،‌ چاپ دوم، انتشارات دانشگاه تهران، 1383،  304 ص.


3. ملک قاسمی، علی، «بررسی کاربرد اصول آمایش سرزمین و GIS در توسعه جنگل و فضای سبز (مطالعه موردی در جنگل سرخه حصار تهران)»، 1384، مجله علمی- پژوهشی کشاورزی، سال یازدهم، شماره 3.
   
   
   1. Amler, B. et al., 1999. Landuse planning methods, strategies and tools, Deutsche gesellschaft for technische zusammenar beit (GTZ) gmblt, P.O.BOX 5130, 65726 Eschborn, Germany.
   
   


4. مالچفسکی، یاچک.( نویسنده)، اکبر پرهیزکار و عطا غفاری گیلانده (مترجم)، «سامانه اطلاعات جغرافیایی و تحلیل تصمیم چند معیاری»، چاپ اول، سازمان مطالعه و تدوین کتب علوم انسانی دانشگاه ها (سمت)، تهران، 1385، 597 ص.
   
   
   1. Chang, N. B., Parvathinathan, G. & Breeden J. B. 2008. Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of Environmental Management, Volume 87, Issue 1, Pages 139-153.
   
   
   2. Chen, Y.C., Lien, H.P. & Tzeng, G.H. 2009. Fuzzy MCDM approach for selecting the best environment-watershed plan. Applied Soft Computing Journal (2008), doi:10.1016/j.asoc.2009.11.017.
   
   
   3. Gomez-Limon, J.A., Arriaza, M, & Riesgo, L. 2003. An MCDM analysis of agricultural risk aversion. European Journal of Operational Research, 151:569–585.
   
   
   4. Chou, W.C., Lin, W. T. & Lin. C.Y. 2007. Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: A case study in Shihmen Reservoir Watershed, Taiwan. ecological engineering 31. Pages 269–280.
   
   
   5. Dixon, B. 2005. Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: a GIS-based sensitivity analysis Journal of Hydrology, 309: 17–38.
   
   
   6. Sadiq, R., Rodriguez, M.J. & Tesfamariam, S. 2010. Integrating indicators for performance assessment of small water utilities using ordered weighted averaging (OWA) operators. Expert Systems with Applications, 37: 4881–4891.
   
   
   7. Tuzkaya, G., Ozgen, A., Ozgen, D. & Tuzkaya. U.R. 2009. Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach. Int. J. Environ. Sci. Tech., 6 (3): 477-490.
   
   


5. آذر، عادل و علی رجب زاده، «تصمیم گیری کاربردی ( رویکرد M.A.D.M)»، چاپ سوم، انتشارات نگاه دانش، 1388، 183 ص.
   
   
   1. Qin, X.S., Huang, G.H., Chakma. A., Nie, X.H. & Lin, Q.G. 2008. A MCDM-based expert system for climate-change impact assessment and adaptation planning _ A case study for the Georgia Basin, Canada. Expert Systems with Applications, 34: 2164–2179.
   
   
   2. Lina, W.T., Tsaib, J.S., Linc, C.Y. & Huangd, P.H. 2008. Assessing reforestation placement and benefit for erosion control: A case study on the Chi-Jia-Wan Stream, Taiwan. Ecological Modelling, 2II:444–452.
   
   
   3. Lotfi, S., Habibi, K., Koohsari, M.J., 2009, An Analysis of Urban Land Development Using Multi Criteria Decision Model and Geographical Information System (A Case Study of Babolsar City), American journal of environmental sciences, 5(1): 87-93.
   
   
   4. Herrera, F. & Martinez L. 2000. An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision Making. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol.8, No.5, 539-562.