Abstract
Performance evaluation and reform of public organizations is receiving increased attention. In many cases identification of the lowest performing organizations is an important part of performance based reforms. Programs to identify low performance would typically benefit from incorporation of expert judgement provided that judgement could be applied in a verifiable and fair manner. Fuzzy rule based systems provide a mechanism for modeling expert judgement. However, translating that expertise into a consistent set of rules can be even more challenging for performance evaluation than it has been in engineering applications. In this paper we describe an approach that first creates a comprehensive and complete set of rules and then modifies those rules to prevent inconsistent results.
| Original language | English (US) |
|---|---|
| Title of host publication | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
| Publisher | IEEE Computer Society |
| Pages | 120-124 |
| Number of pages | 5 |
| State | Published - 1999 |
| Externally published | Yes |
| Event | Proceedings of the 1999 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS'99 - New York, NY, USA Duration: Jun 10 1999 → Jun 12 1999 |
Other
| Other | Proceedings of the 1999 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS'99 |
|---|---|
| City | New York, NY, USA |
| Period | 6/10/99 → 6/12/99 |
ASJC Scopus subject areas
- General Computer Science
- Media Technology