Rule‐Based Expert Systems
Ajith Abraham · Handbook of Measuring System Design · 2005
Abstract The success of intelligent signal processing systems lies in their capabilities of logical reasoning, decision making, adaptation, self‐organization and communication in different modalities: speech, image, language, and so on. This article describes how rule‐based expert systems could be useful for signal processing tasks. Heuristic problem solving is introduced, which is followed by some fundamental aspects of conventional rule‐based systems and fuzzy expert systems. The design of a fuzzy expert system for a forecast problem is also illustrated.