在k均值聚类算法和鲸鱼优化算法的基础上，设计了模糊分类器规则库的形成算法

Proceedings of Tomsk State University of Control Systems and Radioelectronics Pub Date : 1900-01-01 DOI:10.21293/1818-0442-2021-24-1-42-47

N. Koryshev, Radioelectronics, I. Hodashinsky

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引用次数: 0

摘要

本文描述了利用数据聚类、元启发式和聚类质量指标为模糊分类器生成模糊规则的算法，并给出了在实际数据集上的性能测试结果。

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Algorithm to forming a rule base for a fuzzy classifier designed on the basis of the K-means clustering algorithm and the whale optimization algorithm

The article presents a description of the algorithm for generating fuzzy rules for a fuzzy classifier using data clustering, metaheuristic, and the clustering quality index, as well as the results of performance testing on real data sets.

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Proceedings of Tomsk State University of Control Systems and Radioelectronics

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