In this paper a fuzzy hierarchical approach to medical diagnosis is presented. It differs from other fuzzy medical diagnosis approaches by at least two important characteristics. First, it operates having as output universe of discourse the possibility degree of a certain diagnosis and not the diagnosis itselJ and, second, it offers some specgfic methods of dealing with a large verity of uncertainties involved by a diagnosis. The system we propose is based on diagnosis cells (elementary cells) that, depending upon the type of knowledge, can be fuzzy inference systems, neural networks, neuro-fuzzy networks, other type of hybrid systems or even simple fuzzy or crisp mathematical formulas. Applications based on this approach revealed good diagnosis performances.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.