Name
Abstract | ||
|---|---|---|
We present our results on the definition of a formal and interactive situation model improving comprehension of situations and supporting reasoning on projections of situations. The model is based on the rough sets and allows the creation of lattices that fuse the elements of an environment according to different perspectives and requirements of interest for a human operator. To support rapid decision making on dissimilarities between recognized and projected situations, we adopt some measures defined on the lattices. In many scenarios, like in emergency response, this can support the generation of early warnings that may help the human operators in identifying future dangerous events. An early evaluation has been accomplished by considering an illustrative case study based on real scenarios for management of vessel traffic. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/COGSIMA.2017.7929578 | 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) |
Keywords | DocType | ISSN |
Situation Modelling,Rough Sets,Decision Support Systems,Lattice-based Knowledge Representation | Conference | 2379-1667 |
ISBN | Citations | PageRank |
978-1-5090-6381-9 | 0 | 0.34 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuseppe D'Aniello | 1 | 49 | 6.74 |
| angelo gaeta | 2 | 140 | 15.70 |
| Vincenzo Loia | 3 | 1792 | 148.86 |
| Francesco Orciuoli | 4 | 335 | 38.75 |