植物生态学报 ›› 1985, Vol. 9 ›› Issue (2): 120-131.

• 论文 • 上一篇    下一篇

模糊数学在研究定西地区胡麻产量预报中的应用

周电辉   

  • 发布日期:1985-02-10
  • 通讯作者: 周电辉

Application of Fuzzy Mathematics in Study of Common Flax Yield Forecasting in Kingxi Area

Zhou Dianhui   

  • Published:1985-02-10
  • Contact: Deng Ruiwen

摘要: 目前,不少科学领域中,模糊数学方法已愈来愈受到重视。例如在气象、地震预报等方面已获得较好的效果。鉴于农作物产量预报的研究,现在尚处于经验估测阶段。但它考虑的模型与识别的对象在很大程度上往往都还是模糊的,因此,采用模糊数学方法来探测农作物产量预报就具有一定的可能性和优越性。近年来,我们在农作物产量预报方面做了一些探索,取得了一些初步结果。这些初步结果表明,模糊数学方法与技巧的应用,具有十分诱人的前景。本文在广义Fuzzy运算的综合决策模型的基础上,提出了一个改进的“综合决策模型”,并给出了其在产量预报中的具体实例。此法意义直观易懂,简便易行,便于群众掌握。最后又采用了逐步回归及逐段回归方法,建立了一个定量的预报模型与综合决策模型以作相互弥补,取得了较好的效果。它们不仅对历史资料模拟率可达88.2%,而且其可靠性也被1983年的大丰收所证实。经各方面探讨,认为采用这两种方法综合对产量趋势预报,其结果是令人满意的。

Abstract: In this paper, a modified synthetic decision model is proposed on the basis of a synthetic decision model with general fuzzy operation with an example of crop yield forecast. By adopting the piecewise regression method and stepwise regression method, a quantitative model for crop yield forecast has been established and compared with the mentioned synthetic decision model. The two models are mutually complementary, and they can simulate 88% of historical data very well, but moreover their reliability has been confirmed by the measured values obtained in 1983. In every aspect, by using the synthetic decision model, the results of crop yield forecast are quite satisfactory.