The data-driven approach is popular to automate learning of fuzzy rules and tuning
membership function parameters in fuzzy inference systems (FIS) development. However …

Recently, a continuous reinforcement learning model called fuzzy SARSA (state, action,
reward, state, action) learning (FSL) was proposed for irrigation canals. The main problem …

The development of a data-driven fuzzy inference system (FIS) involves the automatic
generation of membership functions and fuzzy if-then rules and choosing a particular …

Class imbalance is among the most persistent complications which may confront the
traditional supervised learning task in real-world applications. Among the different kind of …

The poor performance of surface irrigation water distribution systems in terms of reliability,
sufficiency, and timely delivery makes researchers develop and employ new methods to …

利用智能优化算法挖掘模糊分类规则能够解决模糊前件参数和无关项的组合优化问题,
但也存在依赖初始规则以及更新过程无指导等缺陷, 导致分类精度难以保证. 为此 …

为提高模糊分类规则的有效性和可解释性, 该文提出一种基于最大同类球的模糊规则提取方法.
首先, 每个样本根据与最近异类之间的距离确定一个最大同类球. 然后根据各个同类球中样本之 …

Nowadays, data-driven fuzzy inference systems (FIS) have become popular to solve
different vague, imprecise, and uncertain problems in various application domains …

In order to improve the interpretability and effectiveness of the fuzzy classifier rules, this
paper presents a new method to extract the fuzzy rules based on the maximum ball only …

[eng] Healthcare is changing, and the era of data-driven healthcare organisations is
increasingly popular. Data-Driven approaches (eg, Machine Learning, Metaheuristics …