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首页> 外文期刊>Journal of Advanced Computatioanl Intelligence and Intelligent Informatics >Japanese Economic Analysis by Possibilistic Regression Model Building Through Possibility Maximization
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Japanese Economic Analysis by Possibilistic Regression Model Building Through Possibility Maximization

机译:通过可能性最大化建立可能性回归模型的日本经济分析

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摘要

A possibilistic regression model illustrates the potential possibilities inherent in the target system by including all data in the model. Tanaka and Guo employ exponential possibility distribution to build a model, while Inuiguchi et al. and Tajima are independently working on coinciding between the center of a possibility distribution and the center of a possibilistic regression model. Typically, samples influence and distort the shape of the model if they are far from the center of data. Yabuuchi and Watada have developed a model for describing the system possibility using the center of a possibilistic fuzzy regression model and an approach that mends the distortion of the model. The objective of this paper is to analyze the Japanese economy using our model, and to show the usefulness of our model by analysis results.
机译:可能性回归模型通过将所有数据包括在模型中来说明目标系统固有的潜在可能性。田中和郭采用指数可能性分布来建立一个模型,而Inuiguchi等人。 Tajima和Tajima分别致力于可能性分布的中心与可能性回归模型的中心之间的重合。通常,如果样本离数据中心很远,它们就会影响并扭曲模型的形状。 Yabuuchi和Watada开发了一个模型,该模型使用可能性模糊回归模型的中心以及修正模型失真的方法来描述系统可能性。本文的目的是使用我们的模型来分析日本经济,并通过分析结果来证明该模型的有用性。

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