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.
|Number of pages||6|
|Journal||IJCAI International Joint Conference on Artificial Intelligence|
|Publication status||Published - 1997 Dec 1|
|Event||15th International Joint Conference on Artificial Intelligence, IJCAI 1997 - Nagoya, Aichi, Japan|
Duration: 1997 Aug 23 → 1997 Aug 29
ASJC Scopus subject areas
- Artificial Intelligence