[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 8, Issue 17 (2-2021) ::
PEC 2021, 8(17): 19-40 Back to browse issues page
Locating of planting project using Analytic Hierarchy Process and Fuzzy logic (Case study: Maravehtappe watershed, Golestan province)
Ebrahim Keykha, Akbar Fakhireh *, Hamed Rouhani, Bahareh Behmanesh
, fakhireh@gonbad.ac.ir
Abstract:   (304 Views)
Planting project is a method for improvement of rangeland degradation at which exact implementation depends on many factors. Therefore, there is a need for a fundamental method. In order to locate planting project, in Maravehtappe watershed, analytic hierarchical process and fuzzy logic are applied in this study. In keeping with, four ecological criteria, namely vegetation, soil, physiography and climate were determined along with fourteen sub-criteria. Fuzzy pair comparison matrixes of criteria and sub-criteria were determined through fuzzy analytic hierarchical process; and using triangular fuzzy numbers. Proportional importance of each one of them towards others was presented by getting the opinions of experts. In the next stage, using Chang's extent analysis, the weight of FAHP for criteria and sub-criteria were achieved. Then, the data layers of the sub-criteria were provided and weight of FAHP was executed on them. Finally, by combining the weight-given data layers, the prioritized plans for executing planting project were achieved. The results showed that as the most important ecological factors, the criteria of climate and soil with the weights 0.529 and 0.254 and sub-criteria of rainfall, EC and canopy cover with the weights of 0.313, 0.145 and 0.121 have mostly influenced the locating of this method. Also, the results showed that the regions are of excellent priority for executing planting project 9.07% of the studied region. Totally, in order to evaluate the correctness of the executed locating, validation of the model was carried out by field visiting and evaluating ecological features. The correctness of results for planting project was calculated as 92.79%. The results showed that using AHP and Fuzzy models can provide more appropriate selection power for managers because of simplifying complicated processes and removal of uncertainty.
Keywords: Fuzzy Analytic Hierarchical Process, Chang's extent analysis, Fuzzy pair comparison, triangular fuzzy numbers
Full-Text [PDF 851 kb]   (391 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/11/30 | Accepted: 2020/10/6 | Published: 2021/03/12
1. Akinci, H., Yavuz-ozalp, A. and Turgut, B., 2013. Agricultural land use suitability analysis using GIS and AHP technique, J. Computers and Electronics in Agriculture, 97, 71-82.
2. Al Mamun, M.A., Howladar, M.F. and Sohail, M.A., 2019. Assesment of surface water quality using Fuzzy Analytic Hierarchy Process (FAHP): A case study of Piyain River's sand and gravel quarry mining area in Jaflong, Sylhet. Groundwater for Sustainable Development, doi: https://doi.org/10.1016/j.gsd.2019.03.002
3. Chang, D.Y., 1996. Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3):649-655.
4. Gass, S. and Rapcsák, T., 2004. Singular value decomposition in AHP. European Journal of Operational Research, 154(3): 573-584.
5. Haidaraa, I., Tahrib, M., Maananc M. and Hakdaouia, M., 2019. Efficiency of Fuzzy Analytic Hierarchy Process to detect soil erosion vulnerability. Geoderma, 354: 1-15.
6. Kazemi, F., Bahrami A. and Abdolahi Sharif, J., 2020. Mineral processing plant site selection using integrated fuzzy cognitive map and fuzzy analytical hierarchy process approach: A case study of gilsonite mines in Iran. Minerals Engineering, 147: 1-11.
7. Mosadeghi, R., Warnken, J., Tomlinson, R. and Mirfenderesk, H., 2015. Comparison of AHP-Fuzzy and AHP in spatial multi criteria decision making model for urban land-use planning. Computer, environment and urban systems, 49: 54-65.
8. Jesiya, N.P. and Gopinath, G., 2019. A Customized FuzzyAHP - GIS based DRASTICL model for intrinsic groundwater vulnerability assessment of urban and peri urban phreatic aquifer clusters, Groundwater for Sustainable Development, doi: https://doi.org/10.1016/j.gsd.2019.03.005.
9. Trong Duc, T., 2006. Using GIS and AHP Technique for Land-use Suitability Analysis. International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, pp. 6.
10. Van Laarhoven, P.J.M., and Pedrycz, W., 1983. A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems,11:229-241.
11. Wang, T.C., and Chen, Y.H. 2007. Applying consistent fuzzy preference relations to partnership selection. International Journal of Management Science, 35:384-388.
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

keykha E, Fakhireh A, Rouhani H, Behmanesh B. Locating of planting project using Analytic Hierarchy Process and Fuzzy logic (Case study: Maravehtappe watershed, Golestan province). PEC. 2021; 8 (17) :19-40
URL: http://pec.gonbad.ac.ir/article-1-632-en.html

Volume 8, Issue 17 (2-2021) Back to browse issues page
مجله حفاظت زیست بوم گیاهان Journal of Plant Ecosystem Conservation
Persian site map - English site map - Created in 0.04 seconds with 30 queries by YEKTAWEB 4312