Aggregating features and matching cases on vague linguistic expressions

Alfons Schuster, Werner Dubitzky, Philippe Lopes, Kenneth Adamson, David A. Bell, John G. Hughes, John A. White

研究成果: Conference article査読

6 被引用数 (Scopus)


Decision making based on the comparison of multiple criteria of two or more alternatives, is the subject of intensive research. In many decision making situations, a single criterion consists of more than one piece of information, and therefore might be regarded as a lump of aggregated information. This paper proposes a general method for aggregating information. To accomplish information aggregation we have developed a fuzzy expert system. Results from an application of our approach in the domain of Coronary Heart Disease Risk Assessment (CHDRA) indicate the value of the information aggregation process of the system. We also show in this paper, how a case-based reasoning (CBR) system can greatly benefit - in its time performance and ability to manage uncertainty-from the information aggregation method.

ジャーナルIJCAI International Joint Conference on Artificial Intelligence
出版ステータスPublished - 1997
イベント15th International Joint Conference on Artificial Intelligence, IJCAI 1997 - Nagoya, Aichi, Japan
継続期間: 1997 8月 231997 8月 29

ASJC Scopus subject areas

  • 人工知能


「Aggregating features and matching cases on vague linguistic expressions」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。