Medical Diagnois using Simplified Multi-dimensional Fuzzy Reasoning
- 24 August 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 58-62
- https://doi.org/10.1109/icsmc.1988.754240
Abstract
This paper proposes a method for computer-assisted medical diagnosis using simplified multi-dimensional fuzzy reasoning. The reasoning is based on the iterative use of fuzzy modus ponens and fuzzy modus tollens. Seven types of easy-to-gather production rules for fuzzy medical diagnosis are proposed. The fuzzy inference mechanism accepts patient's symptoms with attached degree of compatibility and infers diagnoses with a degree of certainty that expresses the degree to which it can be certain that the diagnosis is correct. Truthfulness of relationships between symptoms and diseases are fuzzily expressed in terms of linguistic truth values such as "Very True" and "Possibly True". Practical methods for the examination of unconfirmed symptoms and for the reexamination of given symptoms are also considered.Keywords
This publication has 7 references indexed in Scilit:
- Multi-dimensional fuzzy reasoningPublished by Elsevier ,2005
- Efficient method for multidimensional fuzzy reasoning and its application to fault diagnosisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Truth-qualification and fuzzy relations in natural languages, application to medical diagnosisFuzzy Sets and Systems, 1996
- Fuzzy Set Theory in Medical DiagnosisIEEE Transactions on Systems, Man, and Cybernetics, 1986
- Application of Fuzzy Reasoning to Dental DiagnosisTransactions of the Society of Instrument and Control Engineers, 1982
- Fuzzy logic and approximate reasoningSynthese, 1975
- The concept of a linguistic variable and its application to approximate reasoning—IInformation Sciences, 1975