摘要
将模糊优选理论和模糊贴近度相结合，利用模糊优选识别模型对安徽省滁州市杂交稻白叶枯病流行程度进行了中期预报。用１９８２～１９９５年的历史资料进行回检，符合率为８５．７％。对１９９６年和１９９７年病害流行程度进行预测，结果与大田实际发病情况完全一致。经Ｘ２检验，预报与实况差异不显著。
A fuzzy optimization recognition model was obtained by combining fuzzy closeness and a fuzzy optimum seeking method, and the model was used to predict the epidemic severity of bacterial blight of rice on cv. Sanyou 63 in Chuzhou city, anhui province. The exactness of inspection results of 14 years reached 87.5%, and predictive results of 2 successive years (in 1996 and 1997) were consistent with the actual disease epidemic in the field. The model was proved to be useful in practical application.
出处
《西南农业大学学报（自然科学版）》
CSCD
1998年第5期414-418,共5页
Journal of Southwest Agricultural University
基金
"九五"国家重大科技攻关计划资助
关键词
模糊优选
识别模型
白叶枯病
预测
杂交稻
fuzzy optimization recognition model
bacterial leaf blight(rice plants)
predictions
