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作 者:沈明文[1]
机构地区:[1]承德民族师专,河北承德067000
出 处:《承德民族师专学报》2010年第2期60-62,共3页Journal of Chengde Teachers College for Nationalities
摘 要:信息融合在经济、金融等许多领域发挥着重要作用,不同的信息融合需要不同的融合算子,不同的融合算子一般产生不同的融合效果,从而在经济、金融市场预测分析中得到不同预期的结果。目前,已有许多融合算子,如取大算子、取小算子、均值算子、加权平均算子、积分算子等,这些算子都不是定义在集合划分上的。受ID3决策树生成算法的思想启发,本文提出了一种基于集合划分的融合算子,研究了其基本性质,在一定条件下,这种融合算子的值可在最细的划分处达到,为经济领域的研究提供一种新的信息融合方法。Information integration plays an important role in many fields such as economy, finance, etc. Different information integration needs different fusion operators, and different fusion operators generally have different fusion effect, resulting in different expected results in the economic and financial market forecast analysis. At present, there are many integrated operators, such as maximum operator, minimum operator, the mean operator, the weighted average operator, and integral operator etc., which are not defined on the set of dividing. Based on the ID3 decision tree algorithm, this paper presents an integrated operator based on partitioning and studies its basic properties. Under certain conditions, the value of such an integrated operator can be achieved at the finest division, and thus it provides a new information integrated approach for the research on the economy.
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