An intelligent antenna classification method using Mamdani fuzzy inference system

Abstract

Proper antenna classification is required for complex systems including specific application and performance parameters such as resonance frequency, gain, and reflection coefficient because conventional mathematical decision-making models are not well-suited for evaluating these systems. This study proposes an antenna classification method based on Mamdani Fuzzy Inference System (FIS) to determine the appropriate antenna type for those requirements. The performance parameters of five types of antennas are evaluated to construct the configuration of the FIS. The FIS responses for unseen requirements verify the model’s performance showing its classification capability for new data.