摘要
本文针对具前置条件的结论数据所具备的条件分布典型、条件规则模糊的特点,构造一种基于云模型的数据预测方法。云模型擅长处理模糊判断,因此本文采用云模型量化条件规则并设计前置条件数据对于各条件的隶属度的计算方法。步骤为先依据历史数据和人工经验量化出此结论数据的条件云、结论云及条件规则,然后将待预测前置条件数据代入条件云中,依照算法匹配隶属程度最高的条件规则,再通过分析该条件规则相应的结论云,即可得到相应的预测结果。
Aiming at conditional data's characteristic of typical causal relationship and fuzzy condition rules,this paper presents an algorithm of data prediction based on cloud model.As cloud model is adept at fuzzy processing,this paper adopt cloud model to quantize condition rules and establish algorithms of degree-of-membership computing be-tween conditional data and condition rules.The steps are building conditional data's condition clouds,conclusion clouds and condition rules according to historical data and existing experience,substituting conditional data into condition clouds,finding the condition rule of highest degree-of-membership,and getting the predition conclusion by analyzing the conclusion cloud of this condition rule.
出处
《软件》
2015年第12期212-215,共4页
Software
