Research on Predicting Hydatidiform Mole Canceration Tendency by a Fuzzy Integral Model

Abstract

Based on the Fuzzy mathematical principle, a fuzzy integral model on forecasting the cancerational tendency of hydatidiform mole is created. In this paper, attaching function, quantum standard, weight value of each factor, which causes disease, and the threshold value of fuzzy integral value are determined under condition that medical experts take part in. The detailed measures in this paper are taken as follows: First, each medical expert gives the score of the sub-factors of each factor 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 K power parabola larger type. Third, weight values are determined using method by the analytic hierarchy process[AHP] method. Finally, the relative information is obtained from the case histories of hydatidiform mole cases. Fuzzy integral value of each case is calculated and its threshold value is finally determined. Accurate rate of the fuzzy integral model(FIM) is greater than that of the maximum likelihood method (MLM) via diagnosing the history cases and for new cases, the diagnosis results of the FIM is in accordance with those of the medical experts.