About Fuzzy Entropy
Primarily focuses on fuzzy entropy with connections to grey relational degree. This content should be understandable for those working in image processing, featuring algorithm explanations and implementation approaches.
Mathematical Modeling Competition Topic - Wine Quality Evaluation
2012 National College Mathematical Modeling Competition Topic - Wine Quality Evaluation. The package includes wine composition data (Excel file) and various statistical analysis MATLAB functions (pre-packaged, ready to use), containing implementations for: data preprocessing, grey prediction, grey relational analysis, fuzzy comprehensive evaluation based on entropy weight method, principal component analysis, systematic clustering, and multiple linear regression.
Grey Relational Analysis MATLAB Implementation
MATLAB source code for Grey Relational Analysis - a method that treats factor values of research objects and influencing factors as points on a line, compares them with curves plotted from factor values of unidentified objects, quantifies their closeness degree, and calculates relational degrees between various influencing factors. The implementation involves comparing relational degrees to determine the impact level of unidentified objects on research objects through numerical proximity calculations and similarity measurements.
Gray Correlation Degree Algorithm Implementation in MATLAB
High-quality implementation of gray correlation degree algorithm with MATLAB code demonstrations and optimization techniques