Fuzzy ontology-based model for the Minnesota Code

The Minnesota Code is a hierarchical rule-based system for the evaluation of reference ECG signals. One of its weaknesses is the crisp value based hierarchy system. The proper and effective modeling of the rule hierarchy is the key point of the Minnesota Code. In this paper the authors present a possible method to improve the decision model of the Minnesota Code by applying fuzzy ontology to represent the decision process as a hierarchical description of important classes (concepts) along with the description of the properties (of the instances) of each concept.