基于模糊数学理论的陵水黎族自治县耕地地力评价

对区域耕地质量进行评价，是农业发展所必须的基础性工作，对区域种植业合理布局及耕地土壤可持续利用具有重要意义。本研究在构建包含立地条件、土壤理化性状和土壤养分状况在内的3个子目标、10个指标的耕地地力评价指标体系基础上，采用模糊数学理论确定指标隶属度，结合层次分析法进行加权求和，对陵水黎族自治县各乡镇进行耕地地力综合评价。研究表明，陵水县耕地地力为中等水平，且各乡镇耕地地力分布不均，其中以椰林镇和英州镇最高，黎安镇和群英乡最低；降雨特征和地形因素是耕地地力在研究区内空间分布不均的主要成因。

Quantitative Assessment of Soil Productivity of Farmland by Fuzzy Mathematics in Lingshui Li Autonomous County of Hainan Province, China

Assessment of arable land productivity distribution is fundamental to agricultural growth and is of importance to development of agriculture with regional characteristics. By building the indicator system for assessing arable land productivity, which includes three sub-goals: site conditions, soil physicochemical properties and soil profile configuration, and ten indicators, and applying fuzzy mathematics theory to calculate the degree of membership and analytic hierarchy process to determine the weight sum, has made a comprehensive assessment of the arable land productivity of villages or towns in Lingshui Li Autonomous County. Research shows that the arable land is the most productive in the Yelin Town and Yingzhou Town but the least productive in Li'an Town and Qunying Town. Climatic and topographic conditions are major causes for inhomogeneous distribution of arable land productivity in research area.