Several multi-criteria decision-making methods are used in land suitability analyses. The main objective of this study is to present the potential use of the Best–Worst Method to determine agricultural land suitability. Study was conducted in 6837.26 ha land in Canakkale northwest Turkey. Nine land characteristics (texture, electrical conductivity, drainage, pH, depth, cation exchange capacity, organic matter content, soil fertility index (N, P, K and Zn content) and CaCO₃%) were used. Data obtained from the Best–Worst Method were compared with the results of Analytical Hierarchy Process, and Storie Index method. According to the Best–Worst Method, 5.76% of the land was highly suitable, 58.37% were moderately suitable, 31.93% were marginally suitable, and 3.94% were not suitable for paddy cultivation. To Analytical Hierarchy Process, 5.76% of the land was highly suitable, 61.42% were moderately suitable, 29.01% were marginally suitable, and 3.94% were not suitable and with respect to Storie Index method, 5.76% were highly suitable, 0.20% were moderately suitable, 57.78% were marginally suitable, and 36.26% were not suitable for paddy cultivation. There was a statistically positive correlation between the Best–Worst Method and Analytical Hierarchy Process (r = .997) and negative correlation between Storie Index. So, results showed that the data generated with the use of Best–Worst Method were consistent, reliable and complied with the data of Analytical Hierarchy Process. The advantage of the Best–Worst Method to other methods is to conduct less pairwise comparisons and has more practical and fast algorithm. So, the Best–Worst Method can reliably use in crop-based land suitability analyses.

在土地适宜性分析中使用了几种多准则决策方法。这项研究的主要目的是介绍最佳-最差方法在确定农业土地适宜性方面的潜在用途。研究在土耳其西北部恰纳卡莱的6837.26公顷土地上进行。九个土地特征（质地，电导率，排水，pH，深度，阳离子交换能力，有机质含量，土壤肥力指数（N，P，K和Zn含量）和CaCO ₃％）被使用。将最佳-最差方法获得的数据与层次分析法和Storie指数方法的结果进行了比较。根据“最佳-最差方法”，该土地的高度适宜面积为5.76％，中度适宜率为58.37％，边际适宜率为31.93％，不适宜水稻种植为3.94％。在层次分析法中，5.76％的土地非常合适，61.42％的土地为中等合适，29.01％的土地为略为合适，3.94％的土地不适合使用；对于Storie指数法，5.76％的土地为高度合适，0.20％的土地为中等程度适宜的为57.78％，不适宜的水稻为36.26％。最佳-最差方法与层次分析方法（r = .997）与Storie指数之间呈负相关。因此，结果表明，使用最佳-最差方法生成的数据是一致，可靠的，并且与层次分析法的数据一致。与其他方法相比，最佳-最差方法的优势是进行的成对比较少，并且算法更实用，更快速。因此，最佳-最差方法可以可靠地用于基于作物的土地适宜性分析。