A New Exploration of Fuzzy Pattern Recognition of Triangle Types

• 1、College of Science, Liaoning Technical University, Fuxin 123000, China
• 2、 School of Electrical and Control Engineering，Liaoning Technical University，Huludao，125105

Abstract：Fuzzy pattern recognition of triangular type has important applications in the fields of computer vision, pattern recognition and automatic control.Conventional triangulation methods usually perform fuzzy identification based on traditional affiliation functions.However, these methods tend to perform poorly for complex or ambiguous triangular shapes.Therefore, this paper explores a new approach based on fuzzy logic with Gaussian affiliation function to improve the accurate recognition of triangle types.Accurate recognition of different types of triangles (e.g., acute, obtuse, right, isosceles, and equilateral triangles) is achieved by combining fuzzy logic with traditional triangle feature recognition methods.Improving the robustness and accuracy of triangle type recognition.The main applications of this research include, but are not limited to, object recognition in computer vision, triangular feature extraction in image processing, shape recognition in automated control systems, and mathematics teaching aids in the field of education.The fuzzy nature of triangles can be captured more accurately through the application of Gaussian affiliation function, which makes the identification of triangle types more robust and reliable in practical applications.This research is potentially important for improving the performance of image processing and automation systems as well as enhancing the quality of mathematics education.

Keywords： fuzzy pattern recognition triangle recognition gaussian affiliation function