北缘地区柑桔生态区划模糊决策系统

以年平均极端最低气温、活动积温、最冷月平均气温、年平均气温等作为区划决策的重要指标，综合年降水量、最低气温≤-9℃年平均日数及地貌与海拔、水体调节、冷风屏障和土壤营养丰度、PH值等立地条件，建立了北缘地区柑桔生态区划决策系统．引入L-R型模糊数，确立了模糊识别模式，并把模糊推理模型放在知识库里，将精确推理与模糊推理置于同一系统中进行复合推理，使决策系统具有更广泛的实用性．以安徽柑桔生态区划为例，对系统进行了验证．本系统的开发为北缘地区发展柑桔生产提供了决策工具．

Fuzzy decision system for ecological distribution of citrus in north-cultivated-marginal area

The fuzzy decision system for ecological distribution of citrus in north-cultivated-marginal area was established by using the data of mean extreme low temperature, accumulated active temperature (> or = 12.5 degrees C), mean temperature in coldest month, annual mean temperature integrated with annual precipitation, days with mean extreme low temperature below -9 degrees C, physiognomy, elevation, inland water body, cold air barrier, and soil nutrition and pH value. The complex reasoning model with imprecision was used in the decision system by introduction of L-R fuzzy number and recognition formula, which made the decision system have a wide range of application in practice. An example of applying the decision system was tested in Anhui province. The result showed that the development of the decision system would provide a useful tool for the decision of the ecological distribution of citrus in north-cultivated-marginal area.