Abstract
The abstraction of data into more usable formats is an important consideration in complex information processing environments. To be effective data abstraction must preserve the original behavior of the system it is modeling, while at the same reducing the cognitive loading of the decision maker by reducing the volume of information he or she must process. Fuzzy cognitive maps can be used as a template for data abstraction. Because they represent the causal reasoning of the decision maker about a problem, they inherently incorporate how the decision makers use information. A heuristic is presented that preserves the input-output relationship of the map by preserving the cycles present in the map.
| Original language | English (US) |
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| Title of host publication | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
| Publisher | IEEE |
| Pages | 5-9 |
| Number of pages | 5 |
| State | Published - 1997 |
| Event | Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97 - Syracuse, NY, USA Duration: Sep 21 1997 → Sep 24 1997 |
Other
| Other | Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97 |
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| City | Syracuse, NY, USA |
| Period | 9/21/97 → 9/24/97 |
All Science Journal Classification (ASJC) codes
- General Computer Science
- Media Technology