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Objective: The precise zoning of environmental factors in each region for agricultural activities provides a very important guide for decision-making by managers and policymakers in the agricultural sector and farmers. Therefore, this study was conducted to zone arable lands in Lorestan Province for summer (second) forage maize cultivation using GIS, network analysis process (ANP), and fuzzy logic in 2022. Methods: First, the raster layer of environmental factors affecting forage maize cultivation including climatic factors (minimum, maximum and average temperature), topography (altitude and slope), and soil (pH, texture, available potassium, available phosphorus, organic matter and total nitrogen) got prepared in GIS. Then, using fuzzy functions, the map of each factor was fuzzy and the weight of each factor was determined by ANP. The final layers were produced by combining the weighted layers, and finally these layers were zoned into four highly suitable, suitable, marginally suitable, and unsuitable layers. Results: The results of this study indicate that 96.35% of the study area has suitable conditions and 3.65% has marginal ones. Except for a small part of the north and south of the agricultural lands of Lorestan Province, the rest of the lands had suitable conditions. Evaluation of fuzzy maps showed that the highest fuzzy importance was related to climatic factors (0.63) and the least to soil factors (0.53). Conclusion: A separate evaluation of climatic, topographic and soil factors maps indicates that all factors except soil pH limit the cultivation of forage maize in Lorestan Province. [ABSTRACT FROM AUTHOR]