MECHANISM OF TWO-STAGED CORRECTION AND ANALYSIS OF METHODS FOR RULE BASES OF FUZZY DECISION MAKING MODELS REDUCTION
Abstract
In the work analyzed the existing methods for reduction of rule bases fuzzy models for decision support.There was developed the method, which allows for reduction the structure of rule bases fuzzy model for decision support. At the same time automates the setting consequent of rules by changing the input vector coordinates. Simulation results confirm the effectiveness and appropriateness of using the method of two-staged correction of rule bases fuzzymodels in multidimensional DSS.