Water Swirl Algorithm for the Design of Accurate and Interpretable Fuzzy Classifier Model
ثبت نشده
چکیده
Fuzzy Logic Based Classification System usually comes with two contradictory requirements to the obtained model; namely Accuracy and Interpretability. It is often found that a fuzzy system with highest classification accuracy shows poorer interpretability and vice versa. This is also observed in the hybrid GA-PSO approaches presented in the previous chapter. IGA has reasonable interpretability followed by the production of compact rule set but it produces inferior classification accuracy than EPSO. Controversially EPSO is better in accuracy but poorer in interpretability and compactness than IGA.
منابع مشابه
SUBCLASS FUZZY-SVM CLASSIFIER AS AN EFFICIENT METHOD TO ENHANCE THE MASS DETECTION IN MAMMOGRAMS
This paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. In this method, mammograms are segmented into regions of interest (ROI) in order to extract features including geometrical and contourlet coefficients. The extracted features benefit from...
متن کاملInterpretable gene expression classifier with an accurate and compact fuzzy rule base for microarray data analysis.
An accurate classifier with linguistic interpretability using a small number of relevant genes is beneficial to microarray data analysis and development of inexpensive diagnostic tests. Several frequently used techniques for designing classifiers of microarray data, such as support vector machine, neural networks, k-nearest neighbor, and logistic regression model, suffer from low interpretabili...
متن کاملVoltage Sag Compensation with DVR in Power Distribution System Based on Improved Cuckoo Search Tree-Fuzzy Rule Based Classifier Algorithm
A new technique presents to improve the performance of dynamic voltage restorer (DVR) for voltage sag mitigation. This control scheme is based on cuckoo search algorithm with tree fuzzy rule based classifier (CSA-TFRC). CSA is used for optimizing the output of TFRC so the classification output of the network is enhanced. While, the combination of cuckoo search algorithm, fuzzy and decision tree...
متن کاملA Rule Extractor for Diagnosing the Type 2 Diabetes Using a Self-organizing Genetic Algorithm
Introduction: Constructing medical decision support models to automatically extract knowledge from data helps physicians in early diagnosis of disease. Interpretability of the inferential rules of these models is a key indicator in determining their performance in order to understand how they make decisions, and increase the reliability of their output. Methods: In this study, an automated hyb...
متن کاملMultiobjective Genetic Fuzzy Systems - Accurate and Interpretable Fuzzy Rule-Based Classifier Design - Plenary Talk
Fuzzy rule-based systems are universal approximators of non-linear functions [1] as multilayer feedforward neural networks [2]. That is, they have a high approximation ability of non-linear functions. A large number of neural and genetic learning methods have been proposed since the early 1990s [3, 4] in order to fully utilize their approximation ability. Traditionally, fuzzy rule-based systems...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014