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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Roberts, M.E.C. |
| Copyright Year | 1989 |
| Abstract | The author investigates the suitability of fuzzy sets and rules for monitoring and assessing flight and pilot control during a simulator exercise through the intelligent interpretation of instrument readings. The emphasis is on instrument-landing-system approaches as used by civil pilots. The set and rules developed represent the knowledge required to predict critical situations, recognize the intention to correct for these, and describe the aircraft handling. A software demonstration system runs at speed comparable with real-life approaches and contains descriptions and predictions displayed linguistically. The applicability of a critiquing technique using fuzzy reasoning is investigated. This technique requires the specification of limits outside which acceptable performance is unlikely to be achieved, thus simplifying knowledge acquisition.< |
| Starting Page | 1061 |
| Ending Page | 1068 |
| File Size | 595862 |
| Page Count | 8 |
| File Format | |
| DOI | 10.1109/NAECON.1989.40341 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1989-05-22 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge representation Acquired immune deficiency syndrome Aerospace simulation Monitoring Instruments Intelligent systems Aircraft Fuzzy reasoning Decision support systems Fuzzy sets |
| Content Type | Text |
| Resource Type | Article |
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