Library Home || Full Table of Contents || Library Help
|A departure from classical two-valued sets and logic, Fuzzy Logic uses "soft" linguistic (e.g. large, hot, tall) system variables and a continuous range of truth values in the interval [0,1], rather than strict binary (True or False) decisions and assignments. Formally, fuzzy logic is a structured, model-free estimator that approximates a function through linguistic input/output associations. Fuzzy rule-based systems apply these methods to solve many types of "real-world" problems, especially where a system is difficult to model, is controlled by a human operator or expert, or where ambiguity or vagueness is common. A typical fuzzy system consists of a rule base, membership functions, and an inference procedure.|
|Resource Types:||Courses, Newsgroups, Newsletters, Frequently Asked Questions (FAQs), Tutorials|
|Math Topics:||Artificial Intelligence|
© 1994- The Math Forum at NCTM. All rights reserved.