Land Suitability Evaluation with Fuzzy Simulation and Fuzzy Analytic Hierarchy Process for Irrigated Wheat

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Abstract

Performance of proper method of land suitability for determination of land classes and subclasses for wheat production is very important. This research aimed to determine the quantitative impact of land characteristics on irrigated wheat production, using the theory of fuzzy logic and fuzzy analytic hierarchy process (FAHP) approach. The theory was applied to a land suitability assessment for irrigated wheat in Gotvand, Khuzestan province, southwest of Iran. The methodology was tested by comparing the observed yield and land indices calculated by fuzzy simulation and FAHP approach. Based on the result regression coefficient for fuzzy simulation and FAHP was, respectively, 0.82 and 0.27 and the corresponding standard errors of fit were 252 and 1263 kg/ha. Therefore, the model based on fuzzy simulation had higher accuracy and less error than FAHP. Therefore, fuzzy simulation model is the best method in this research and can be proposed for future study in land suitability evaluation studies.

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References

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Iranian Journal of Soil Research
Volume 30, Issue 2
August 2016
Pages 149-159

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