从信用体系看评分模型的混沌性

2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop Pub Date : 2008-12-01 DOI:10.1109/KAMW.2008.4810408

N. Zhang, Xueyan Zhang, Li Zhang, Zhongqiang Chen

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摘要

在某些情况下，混沌等于不稳定，这意味着系统初值的微小扰动会给系统的结果带来很大的变化。来自信用体系的评分模型也存在混乱现象，这导致了一种我们无法接受的悖论，即相似的人受到的对待如此不同。本文描述了信用体系中出现的混乱现象，并给出了一个例子来解释它。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Chaos in the Scoring Models from the Credit System

In some cases chaos is equal to instability, which means a tiny disturbance of the initial value to a system will brings a big change in the outcome of the system. Scoring models from credit system also has chaos phenomenon which leads to a paradox that similar people take so different treatment that we can not accept. This paper describes chaos that happens in the credit system and gives an example to explain it.

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2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop

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