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

Name: Data for: Training Fuzzy Inference System-Based Classifiers with Krill Herd Algorithm
Creator: Moussa Mohsenpourian
Published: 2020-12-25T04:49:20.613Z
Keywords: Fuzzy Reasoning, Bioprocess Optimization, Classification System, Biologically Inspired Engineering

Mohsenpourian, Moussa; Mosharfian, Niloufar; Asharioun, Hadi

doi:10.17632/f7kh5v3y76.1

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

Published: 25 December 2020| Version 1 | DOI: 10.17632/f7kh5v3y76.1

Contributors:

Moussa Mohsenpourian, Niloufar Mosharfian, Hadi Asharioun

Description

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.

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

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