Agro-ecological zoning (AEZ) is one of the most useful tools for recognizing land capabilities to be allocated for the best and most profitable types of productivity. AEZ, as applied in FAO studies, defines zones based on combinations of topography, soil, land use, and climatic characteristics. In this research, data preparation in Geographic Information System (GIS) environment and membership function defined in fuzzy inference system (FIS) then used weighted linear combination (WLC) for determining parameters weight for agro-ecological zoning of chickpea in semi-arid regions of Iran that includes climatic, topography, soil, and land use parameters. At first, a climatic zoning map was developed based on rainfall, temperature, absolute minimum temperature, and evapotranspiration maps. The topography zoning map was made based on slope, aspect, and hypsometry. Soil zoning map was developed based on soil texture and soil erosion maps. Moreover, the land use map was developed by land type and land cover maps. The results showed that significant parts of the studied area were classified as unsuitable 52.59% (1.388.731 ha), 27.84% (734.881 ha) and marginal with 27.53% (727.535 ha), 17.96% (474.566 ha) while the optimal zones were only 4.15% (109.697 ha) and 8.44% (223.210 ha) for rainfed chickpea cultivation and irrigated chickpea cultivation, respectively. The results also showed that agroclimatic zoning and agro-land use zoning have an essential role in determining the optimal areas for chickpea production in rain-fed and irrigated conditions. The use of GIS and fuzzy inference system improved the accuracy of spatial data, more productive analysis, and enhanced data access.

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