Fuzzy System with Positive and Negative Rules
Thanh Minh, Q. M. Jonathan Wu · Machine Learning · 2010
In this chapter, we have introduced a fuzzy rule-based system that combines both positive and negative association rules in its structure. A major advantage of this system is that each rule can represent more than one class. Through experimental tests and comparisons with existing algorithms on a number of natural images, it is found that the proposed system is a powerful tool for image classification.