COFESS--cooperative fuzzy expert systems for intelligent recognition

• Other Authors: Schneider, Mordechay.
• Format: Others
• Language: English
• Subjects: Computer Science
• Online Access: http://purl.flvc.org/fsu/lib/digcoll/etd/3086841

COFESS is a pattern recognition system composed of three cooperating fuzzy expert systems (denoted by COFES1, COFES2 and COFES3) which utilizes fuzzy set theory and fuzzy logic in its decision making mechanisms. COFESS employs a recursion in the process of pattern recognition. Decisions related to the nature of the recognition need to be made along the way such as what feature to recognize next, etc. In order to solve this problem, an inference engine is constructed that examines a knowledge base and determines the next step in the recognition process. Another problem arises when we have to decide how one feature is related to the rest of the features that construct an object. Consider the problem of recognizing an object containing five identical squares--how can we prevent the system from recognizing the same square five times. To solve this problem (as well as other related problems) we defined two types of relations between features. === The first type of relation determines the relative location of a feature with regard to other features and thus enables the system to distinguish between features. Moreover, by finding the area in which a certain element is expected to be found we are able to reduce the search space and increase the speed of the recognition process. The second type of relation is developed to help the system determine whether the feature recognized is indeed the feature that we intended to recognize. These are physical relations between the features (such as, how is the length of one feature related to the length of another feature, etc.), and are designed to help to distinguish between a feature and an accidental noise that resembles this feature. === Upon successful localization of the designated area for recognition, a recognizer is activated to perform the actual pattern matching. === Thus, the recognition of a feature involves four steps: (1) Deciding which element to recognize. (2) Finding the local area in which this element can be found. (3) Performing the pattern matching. (4) Checking whether or not this element is really the element which was expected to be recognized. (Abstract shortened with permission of author.) === Source: Dissertation Abstracts International, Volume: 49-06, Section: B, page: 2268. === Major Professor: Abraham Kandel. === Thesis (Ph.D.)--The Florida State University, 1987.