Information Source Entropy Based Fuzzy Integral Decision Model on Radiodiagnosis of Congenital Heart Disease

Abstract

Based on fuzzy mathematical principle, Information source Entropy based Fuzzy integral decision Model(IEFM) on radiodiagnosis of congenital heart disease is created. In this paper, attaching function, quantum standard, weight value of each symptom, which causes disease, are determined under condition that medical experts take part in. The detailed measures are taken as follows: First, each medical expert gives the scores of all symptom signs of each symptom based on their clinic experience and professional knowledge. Second, based on analyzing the feature of the scores given by medical experts, attaching functions are established using the curve fitting method. Third, weight values of symptoms are calculated by the information source entropy and these weight values modified by optimization processing. Fourth, information source entropy based fuzzy integral decision model(IEFM) is proposed. Finally, the relative information is obtained from the case histories of the cases with radiodiagnosis of congenital heart disease. Fuzzy integral value of each case is calculated. Accurate rate of the IEFM is greater than that of the Single Fuzzy Integral decision Model(SFIM) via diagnosing the anamneses.