Name
Abstract | ||
|---|---|---|
The paper aimed to establish a framework for handling the relationships between different agents in mobile environments. In such environments, objects are vague due to incompleteness and local nature of sensed data. The lack of relevant data stimulated us to use intuitionistic fuzzy (IF) logic for modeling spatial relationships between them. In this paper uncertainty modeling of spatial relationships are analyzed from the view point of intuitionistic fuzzy (IF) logic and in order to provide a paradigm that treats with uncertain topological relationships in mobile GIS environments, a logical framework is presented in which the concept of spatial influenceability is combined with the IF logic. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73400-0_39 | WILF |
Keywords | Field | DocType |
relevant data,local nature,mobile environment,uncertain topological relationship,paper uncertainty modeling,spatial influenceability,mobile gis environment,different agent,logical framework,spatial relationship,intuitionistic fuzzy spatial relationships,spatial relationships | Data mining,Computer science,Fuzzy logic,Artificial intelligence,Uncertainty modeling,Logical framework,Machine learning | Conference |
Volume | ISSN | Citations |
4578 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Reza Malek | 1 | 30 | 7.30 |
| Farid Karimipour | 2 | 41 | 7.17 |
| Saeed Nadi | 3 | 8 | 0.89 |