Multiple approach to data analysis and uncertainty management in knowledge-based systems

Alfons Josef Schuster, Mary Shapcott, Kenny Adamson, David A. Bell

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper compares three different data analysis methods in a subfield of the coronary heart disease risk assessment (CHDRA) area - the identification of increased blood cholesterol levels. A data set containing the cholesterol data of 166 persons is employed as a test case, and analyzed in three experimental investigations. The first analysis method employs a predominantly knowledge-based fuzzy expert system solution to the problem. The second method employs statistical discriminant analysis on the same data, whereas the results of the third analysis are obtained by an artificial neural network. This study evaluates the advantages as well as the disadvantages of each method. Special attention is given to the systems' individual capability for managing the uncertainty involved in the decision-making process. The results achieved in the study provide evidence for the complementary and mutually supporting character of the different approaches.

Original languageEnglish
Pages (from-to)93-116
Number of pages24
JournalInternational Journal of Intelligent Systems
Volume15
Issue number2
DOIs
Publication statusPublished - 2000 Feb
Externally publishedYes

Fingerprint

Uncertainty Management
Knowledge-based Systems
Cholesterol
Knowledge based systems
Data analysis
Discriminant analysis
Risk assessment
Expert systems
Statistical methods
Blood
Decision making
Fuzzy Expert System
Neural networks
Coronary Heart Disease
Subfield
Risk Assessment
Knowledge-based
Discriminant Analysis
Experimental Investigation
Statistical Analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Multiple approach to data analysis and uncertainty management in knowledge-based systems. / Schuster, Alfons Josef; Shapcott, Mary; Adamson, Kenny; Bell, David A.

In: International Journal of Intelligent Systems, Vol. 15, No. 2, 02.2000, p. 93-116.

Research output: Contribution to journalArticle

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