A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data
作者： Jose Antonio Sanz , Dario Bernardo , Francisco Herrera , Humberto Bustince , Hani Hagras
DOI: 10.1109/TFUZZ.2014.2336263
关键词: Evolutionary algorithm 、 Oversampling 、 Finance 、 Data mining 、 Artificial intelligence 、 Fuzzy rule 、 Data modeling 、 Preprocessor 、 Machine learning 、 Interpretability 、 Fuzzy logic 、 Mathematics 、 Decision tree
摘要: … portfolio, bankruptcy prediction, and security management [13]. The main challenge faced in these works when working with real-world data is the high level of data imbalance. Most of …
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