:: 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:   (2314 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 1638 kb]   (843 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/11/30 | Accepted: 2020/10/6 | Published: 2021/03/12
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