基于模糊数学的农业气候适宜度划分研究及应用

Study and Application of Cropper Climate Suitability Partition Based on Fuzzy Mathematics

农业气候适宜性评价是一个非常典型的模糊问题。文中首先提出了模糊数学评价模型,并在此基础上以吉林省1990—1997年的多年平均降水、5～9月的积温和光照条件作为基础数据,结合专家系统和地理信息系统技术对吉林省农业气候生态适宜度以乡镇为最小单位进行了划分。

Agricultural climate suitable evaluation is a typical fuzzy problem. The authors firstly put the fuzzy mathematics evaluation model. Then using multi-years average rainfall from 1990 to 1997, and mass temperature from May to September as basic datum, we partitioned agricultural climate suitability based on Expert System（ES） and Geo-Information System（GIS） of Jilin province. At the same time, we developed foodstuff crop macro decision-making system.