Fusion of Information from Multiple Human Sources Using Fuzzy Logic
| Autor: | Lyle N. Long, Gregory L. Sinsley |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Artificial neural network
Computer science business.industry Aerospace Engineering computer.software_genre Sensor fusion Soft sensor Fuzzy logic Field (computer science) Computer Science Applications Fuzzy electronics Fuse (electrical) Data mining Electrical and Electronic Engineering business computer Graphical user interface |
| Zdroj: | Journal of Aerospace Information Systems. 10:560-571 |
| ISSN: | 2327-3097 |
| Popis: | The field of soft sensor data fusion deals with human sources of information, as opposed to more traditional approaches that deal primarily with information from hard (physics-based) sensors. To facilitate the collection of data from soft sensors, a graphical user interface has been designed. Data that the user enters into the graphical user interface are represented numerically using fuzzy logic. Fuzzy logic is also used in order to fuse data from multiple users or from the same user at different points in time. The fusion system has been tested both in simulation and in the field using a hypothetical search and rescue problem. |
| Databáze: | OpenAIRE |
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