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

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

研究成果: Article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)93-116
ページ数24
ジャーナルInternational Journal of Intelligent Systems
15
2
DOI
出版ステータスPublished - 2000 2月 1
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • 理論的コンピュータサイエンス
  • 人間とコンピュータの相互作用
  • 人工知能

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