Diagnostics in Homeopathic System Using Neuro-fuzzy Networks

The principle of Homeopathic system is to select a single medicine by priority of the symptoms not by the diseases for any patient. Neuro-Fuzzy logic networks can solves the problem of the diagnostic in Homeopath System. Homeopathic software we suppose the neural networks for solution the problem of the diagnostic in Homeopath System and consider the algorithms of the training. Neural networks will adjust the wet value as symptoms. Using intuitionistic fuzzy set theory medical diagnosis has been applied to the problem of selection of single remedy from homeopathic repertorization. Two types of compositions of IFRs and three types of selection indices have been discussed. We also propose a new repertory exploiting the benefits of sof-intelligence.