An intelligent antenna classification method using Mamdani fuzzy inference system

被引：0
|
作者：
Dhar, Jitu Prakash [1 ]
Nishiyama, Eisuke [1 ]
Toyoda, Ichihiko [1 ]
机构：
[1] Saga Univ, Dept Elect & Elect Engn, 1 Honjo Machi, Saga 8408502, Japan
来源：
IEICE COMMUNICATIONS EXPRESS | 2025年 / 14卷 / 03期
关键词：
Mamdani FIS; membership function; fuzzification; if-then rules; defuzzification; typical application;
D O I：
10.23919/comex.2024XBL0195
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：111 / 114
页数：4
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