Genetic algorithm enhanced Fuzzy Cognitive Maps for medical diagnosis

This paper presents a new hybrid modeling methodology for the complex decision making processes. It extends previous work on competitive fuzzy cognitive maps for medical decision support systems by complementing them with genetic algorithms methods. The synergy of these methodologies is accomplished by a new proposed algorithm that leads to more dependable advanced medical decision support systems that are suitable to handle situations where the decisions are not clearly distinct. The methodology developed here is applied successfully to model and test a differential diagnosis problem from the speech pathology area for the diagnosis of language impairments.