Mining fuzzy association rules in databases
ACM SIGMOD Record
Data mining: concepts and techniques
Data mining: concepts and techniques
A fuzzy approach for mining quantitative association rules
Acta Cybernetica
Design of a fuzzy expert system for determination of coronary heart disease risk
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Fuzzy versus quantitative association rules: a fair data-driven comparison
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy association rules: general model and applications
IEEE Transactions on Fuzzy Systems
Mining association rules with improved semantics in medical databases
Artificial Intelligence in Medicine
International Journal of Artificial Intelligence and Soft Computing
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Recently, the application of the conventional rule based expert system for disease risk determination in medical domains has increased. However, a major limitation to the effectiveness of the rule based expert system approach is the sharp boundary problem that leads to underestimation or overestimation of boundary cases, which ultimately affects the accuracy of their recommendation. In this paper, an expert driven approach is used to investigate the viability of a fuzzy expert system in the determination of risk associated with coronary heart disease with regards to the sharp boundary problem in rule based expert system.