Name
Abstract | ||
|---|---|---|
In order to handle uncertain information, this paper proposes evidential cognitive maps (ECMs), similar to the fuzzy cognitive maps (FCMs). ECMs are uncertain-graph structures for representing causal reasoning through the combination of cognitive maps and Dempster Shafer evidence theory. The framework of ECMs is developed in detail and an application to socio-economic model is used to illustrate the application of the proposed methodology. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.knosys.2012.04.007 | Knowl.-Based Syst. |
Keywords | Field | DocType |
fuzzy cognitive map,causal reasoning,proposed methodology,dempster shafer evidence theory,uncertain information,evidential cognitive map,cognitive map,uncertain-graph structure,data fusion,fuzzy cognitive maps | Data mining,Causal reasoning,Cognitive map,Computer science,Fuzzy cognitive map,Sensor fusion,Artificial intelligence,Dempster–Shafer theory,Machine learning | Journal |
Volume | ISSN | Citations |
35, | 0950-7051 | 34 |
PageRank | References | Authors |
0.91 | 46 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingyi Kang | 1 | 138 | 9.24 |
| Yong Deng | 2 | 1248 | 83.34 |
| Rehan Sadiq | 3 | 364 | 30.26 |
| Sankaran Mahadevan | 4 | 820 | 71.42 |