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Modelling Vague Shape Dynamic Phenomena from Sensor Network data using a Decentralized Fuzzy Rule-Based Approach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cesarie Roger Njila Ntankouo Mostafavi |
| Copyright Year | 2017 |
| Abstract | Modelling dynamic phenomena of vague shape from sensor data is still a challenging problem for many applications. In this paper, we propose a decentralized fuzzy rule-based approach based on fuzzy object model to build a more realistic spatiotemporal representation for such phenomena. This approach has been successfully implemented in a simulation case of bushfire monitoring, showing advantages for spatial decision making in a disaster management context. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://cloudfront.escholarship.org/dist/prd/content/qt4jg8k4gk/qt4jg8k4gk.pdf |
| Alternate Webpage(s) | https://escholarship.org/content/qt4jg8k4gk/qt4jg8k4gk.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Decision Making Fuzzy rule Logic programming Simulation Vagueness |
| Content Type | Text |
| Resource Type | Article |