Granular analytical method of crop yield forecasting

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (25): 224-228.

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Granular analytical method of crop yield forecasting

WANG Xiaohan1, ZHANG Yanping2, ZHAO Shu2, ZHANG Ling2

1.Institute of Mathematics & Computer Science, Anhui Normal University, Wuhu, Anhui 241000, China
2.Institute of Computer Science & Technology, Anhui University, Hefei 230039, China

Online:2012-09-01 Published:2012-08-30

作物产量预测的粒度分析法

汪小寒1，张燕平2，赵姝2，张铃2

1.安徽师范大学数学计算机科学学院，安徽芜湖 241000
2.安徽大学计算科学与技术学院，合肥 230039

Abstract

Abstract: The granular analytical method of crop yield forecasting is put forward. How to select an appropriate granularity is analyzed in the crop yield series based on the theory of quotient space and granular computing. New quotient space can be obtained after universe X granulation by means of attribute partition and attribute f granulation by adopting different granularity. And the new space can make complex problem simple. Appropriate granularity can be selected by using delamination and synthesis method in the quotient space theory. It can get more accurate information in the yield series and be more close to human intelligence. Experimental results of wheat yield forecasting also show that the granular analytical method is more effective.

Key words: granular computing, quotient space, delamination, synthesis, crop yield forecasting

摘要： 针对作物产量预测，提出基于商空间粒度计算的分析法。在商空间粒度计算理论思想下，分析作物产量序列中粒度的选取，用属性划分方法对论域X进行颗粒化，对属性f取不同的粒度进行颗粒化。通过属性的粒度变化对论域进行划分，得到新的商空间并应用其解决问题，可以降低问题复杂度。通过商空间理论中的分层与合成技术选取大小合适的粒度，能全面获取产量序列中的信息，也更加符合人类智能特点。冬小麦产量预测实验结果也证明这种粒度分析和选取方法是有效的。

关键词: 粒度计算, 商空间, 分层, 合成, 产量预测

WANG Xiaohan1, ZHANG Yanping2, ZHAO Shu2, ZHANG Ling2. Granular analytical method of crop yield forecasting[J]. Computer Engineering and Applications, 2012, 48(25): 224-228.

汪小寒1，张燕平2，赵姝2，张铃2. 作物产量预测的粒度分析法[J]. 计算机工程与应用, 2012, 48(25): 224-228.

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Granular analytical method of crop yield forecasting

作物产量预测的粒度分析法

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