Modelling uncertainty in clinical diagnosis using fuzzy logic
This introduces a formal view of diagnosis in clinical settings and shows the relevance and possible uses of fuzzy cognitive maps. A novel constraint satisfaction method is introduced that uses the temporal uncertainty in symptom durations that may occur with particular diseases. This allows researchers to exploit type-2 fuzzy logic (for the first time) in dealing with temporal uncertainty. The impact factor of the journal is 1.538.
Citation : John, R.I. and Innocent, P.R. (2005) Modelling uncertainty in clinical diagnosis using fuzzy logic. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), 35(6), pp. 1340-1350.
ISSN : 1083-4419
Research Group : Centre for Computational Intelligence