用遗传算法从区间值数据中获得语言可理解的随机集分类器

2009 Ninth International Conference on Intelligent Systems Design and Applications Pub Date : 2009-11-30 DOI:10.1109/ISDA.2009.162

L. Sánchez, Inés Couso

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引用次数: 0

摘要

结合下降算法和协同进化方案，我们定义了一个新的过程，能够从具有审查或区间值数据的数据集中获得基于规则的模型，并且还可以识别训练集中的冲突实例:那些对模型可能性的不确定性贡献最大的实例。

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Obtaining a Linguistically Understandable Random Sets-Based Classifier from Interval-Valued Data with Genetic Algorithms

Combining descent algorithms and a coevolutionary scheme, we have defined a new procedure that is able to obtain rule-based models from datasets with censored or interval-valued data, and can also identify the conflictive instances in the training set: those that contribute the most to the indetermination in the likelihood of the model.

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来源期刊

2009 Ninth International Conference on Intelligent Systems Design and Applications

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