Emphasis will be placed on practical implementation rather than mathematical analysis of algorithms. This course is a continuation of CS 6521. See course description for CS 6521. Expert Systems and Fuzzy Sets 3 units Nickerson Expert systems have developed as an outgrowth of research in Artificial Intelligence. They contain knowledge gleaned from human experts and can perform some tasks as well as and sometimes better than their human counterparts.
Fuzzy sets provide a natural basis for employing uncertainty in expert systems.
This course covers fuzzy sets theory and fuzzy logic, fuzzy set applications to decision making and process control, expert systems theory and architecture, and expert systems applications. Image representation is viewed as image description by features. Modern display techniques are addressed including animation. Image transformations are emphasized leading to image enhancement and restoration of degraded images. Properties of human vision are studied and exploited for optimal image data compression and optimal image display.