AN EFFICIENT ALGORITHM TO HANDLE MEDICAL DIAGNOSTIC PROBLEMS
- 1 July 1990
- journal article
- research article
- Published by Taylor & Francis in Cybernetics and Systems
- Vol. 21 (4) , 377-387
- https://doi.org/10.1080/01969729008902249
Abstract
In this paper we propose a new algorithm to handle medical diagnostic problems, where the fuzzy production rules are used for knowledge representation. The algorithm can be executed very efficiently. If there are p symptom features and the knowledge base of a medical diagnostic system contains n fuzzy production rules, then the time complexity of the algorithm is O(np).Keywords
This publication has 14 references indexed in Scilit:
- Applications of a novel fuzzy expert system shellExpert Systems, 1989
- KNOWLEDGE REPRESENTATION SCHEME BASED ON PETRI NET THEORYInternational Journal of Pattern Recognition and Artificial Intelligence, 1988
- A new approach to handling fuzzy decision-making problemsIEEE Transactions on Systems, Man, and Cybernetics, 1988
- Fuzzy Set Theory in Medical DiagnosisIEEE Transactions on Systems, Man, and Cybernetics, 1986
- Petri net representation of decision modelsIEEE Transactions on Systems, Man, and Cybernetics, 1985
- Modeling production rules by Means of Predicate Transition networksInformation Sciences, 1985
- A Theory of Commonsense KnowledgePublished by Springer Nature ,1984
- AN AXIOMATIC APPROACH TO RATIONAL DECISION MAKING IN A FUZZY ENVIRONMENT††This work was supported by the National Science Foundation Grant GK-36721.Published by Elsevier ,1975
- Outline of a New Approach to the Analysis of Complex Systems and Decision ProcessesIEEE Transactions on Systems, Man, and Cybernetics, 1973
- Fuzzy setsInformation and Control, 1965