Abstract
This paper deals with the support of human experts in making decisions in the field of bridge monitoring. Thereby, the methodology Case-based Reasoning is described to develop a Decision Support System for the interpretation of measurement results of bridges. Case-based Reasoning is a cyclic problem solving method whereby already known knowledge about bridges is stored in form of cases. The system uses these cases to help the engineers in interpreting measurement results. Each bridge has different dynamic parameters. Therefore, analysis and interpretation of the raw data is very time-consuming and costintensive. Furthermore, the interpretation by human experts is done in a subjective way because each engineer has different concepts and experience in the interpretation of bridge measurement data. On this account, there is a need for an intelligent Decision Support System to support engineers in interpreting measurement results and making decisions.
| Original language | English |
|---|---|
| Title of host publication | Third International Multi-Conference on Computing in the Global Information Technology, 2008. ICCGI '08 |
| Number of pages | 6 |
| Publication status | Published - 2008 |
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science
