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Rule-Based and Expert Systems

The most widely used Artificial Intelligence technique, rule based and expert systems, encapsulates the knowledge of an expert human operator and use that knowledge in performing some task.

Some examples of Rule- Based and Expert Systems include:

Pricing Model Application

One application of fuzzy decision support systems is in determining the unit price for a new product.  This process involves considering a number of imprecise and uncertain factors, many of them unrelated to one another, and others that appear to be entirely contradictory. An example of such a model, developed by Mr. Earl Cox of Metus Systems, can be found in the reference cited below. Sonalysts is available to implement custom decision support systems addressing a wide range of problems found in the fields of micro-economics and finance. 

Reference: Cox, Earl D. (1995) Fuzzy Logic for Business and Industry, Charles River Media, Rockland, MA

Proof-of-Feasibility Maneuver Aid

A prototype maneuver aid (ship automatic helm controller),  eveloped to aid the U.S. Navy in conducting complex tactical maneuvers. This fuzzy expert system utilized an expert-helmsman knowledge base to guide the ship accurately through a series of complex maneuvers, as well as to simply keep the ship on course. 

Reference: Cowden, Anthony T.C., "Development of the Proof-of-Feasibility Maneuvering Aid (POF-MA): A Fuzzy Logic, Expert System Approach to Maneuver Control" (NUWC Technical Report, 26 May 1995)

The Expert System Active Sonar Classification Aid

A prototype data fusion system for identifying (classifying) active sonar contacts. Developed for the U.S. Navy, the approach used is also applicable to a wide range of data fusion applications, where various sources of data must be analyzed and "fused" into a single opinion, answer, or decision.

Reference: Cowden, Anthony T.C., "The Expert System Active Sonar Classification Aid: A Multisource Acoustic Data Fusion System" (U.S. Navy Journal of Underwater Acoustics, July 1995)


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