A Matching Approach of Fuzzy Rules Based on the D-S Evidence Theory
Lingling Li · Low Voltage Apparatus · 2008
As a representation of knowledge,production rule is widely used in intelligent system.For rules with uncertainty,the variable in the promise of the rules is a fuzzy set in most of conditions,but the variable in the current fact is usually a fuzzy set,general number or section on the real number domain.To process the different variable,a new approach to calculate the matching degree was proposed by combine the two closeness degree distributed with different weights based on evidential theory.The weight of each closeness degree can be adjusted(adaptively) in terms of the distribution of variables,so the matching result is much more reasonable.