firstly my fuzzy system is based on 5 image features dental x-ray images, consisting of 120 preapical images. features are described as below:
1-Entropy, Edge-Value, and Intensity: [30:55]
2-Local Binary Patterns - LBP: [140:160]
3-Red-Green-Blue - RGB: [82:140]
4-Gradient Feature: [0.3:0.45]
5-Patch Level Feature: [0.01:0.33]
output range: [1:5]
based on the article:
Article Dental Diagnosis from X-Ray Images using Fuzzy Rule-Based Systems
I achieved the membership function parameters of my fuzzy system (the number of my parameters to optimize were 48).
then created a cost function to optimize the values in order to minimize the Errors. but it gained a poor accuracy (about 13%) and a great number of MAE and MSE (MAE=1.27 and MSE= 2.22).
Is there a better.
Do you know a better way to optimize my system?
my programming software: MATLAB2019
Dear Mohsen Saed ,
Look the link, maybe useful.
Conference Paper Optimization of a fuzzy logic controller using genetic algorithms
https://core.ac.uk/download/pdf/82085227.pdf
Regards,
Shafagat
Dear Mohsen Saed,
Also i suggest you to see links and attached files on topic.
https://link.springer.com/book/10.1007%2F978-981-15-9735-0
https://www.nature.com/articles/s41598-020-60817-6
https://www.hindawi.com/journals/cin/2016/8469428/
Article A content-based system for human identification based on bit...
Best regards
Fuzzy Logic System with GA Optimization is in the following link:
Article A Genetic Algorithm and Fuzzy Logic Approach for Video Shot ...
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