Annals of Medical Diagnosis Based on Interval Valued Fuzzy Number Matrices

Abstract. A major task of the medical science is to diagnose diseases. Hence medical diagnosis is an art for determining a person’s pathological conditions of the body, from all the available symptoms. In real world situations, the representation of the uncertain and imprecise knowledge of medical documentation, gives rise to fuzzy environment. Recently, there are varieties of models of medical diagnosis, under the general framework of fuzzy set theory, involving fuzzy matrices to deal with the different complicating aspects of medical diagnosis. In this paper, we have used the interval valued fuzzy number matrices to represent the medical knowledge between the symptoms/diseases and patients/symptoms. Two different mathematical procedures are presented in modeling the diagnostic process, which helps to draw different types of diagnostic conclusions. Finally, examples are illustrated with the simulation result, to verify the proposed approach in detail. Comparisons are made with the existing earlier results, which reveal that, the method presented in this paper is an alternative way to diagnose the diseases