Data for: Training Fuzzy Inference System-Based Classifiers with Krill Herd Algorithm

In this study, a new approach for modification of membership function parameters in a fuzzy inference system (FIS) is demonstrated. Here, the main intention is to compare Krill Herd Arlgorithm (KHA) as a mean to train a FIS, with other heuristic algorithms, as well as more conventional classification procedures. The proposed FIS training method has been designed to serve as a fuzzy classifier.本研究展示了一种用于修正模糊推理系统（Fuzzy Inference System，FIS）隶属度函数参数的全新方法。本研究的核心目的为：将用于训练FIS的磷虾群算法（Krill Herd Algorithm，KHA），与其他启发式算法以及更为传统的分类方法展开对比。本次提出的FIS训练方法被设计为模糊分类器。