A Comparative Research on Reasoning Ability Among Matching Operators in Fuzzy Decision Tree
Shuang Liu · Journal of Hebei University · 2008
Fuzzy decision tree induction is an efficient algorithm for resolving classification problems in machine learning field.The choice of inductive method plays an important part in performance of fuzzy reasoning.Three heuristic algorithms,Min-Ambiguity,Fuzzy ID3 and the weighted fuzzy induction are comparatively introduced.Four matching operators,(∨,∧),(∨,×),(+,∧) and(+,×),which are frequently used for applying fuzzy rules for classification are analyzed and compared.In the end,suggestion on how to choose the matching operators from experiments is developed.