Name
Abstract | ||
|---|---|---|
AbstractRecognition and measurement of evidence conflict is the key problem that restricts the application of D-S evidence theory. Based on the evidence conflict definition and case analysis, we give the new measurement factor of conflict, integrate the traditional conflict coefficient K and the Jousselme's information distance to represent the conflict between the evidence, use information entropy to represent the evidence information effectiveness in this paper. We analyse the relationship among the three metrical components through constructing the coefficient K and dif j< small>< sub> information matrix and verified the effectiveness adaptability of new conflict metric factor in recognition measurement evidence conflict.< p>j<> |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1504/IJAMC.2016.080979 | Periodicals |
Field | DocType | Volume |
Data mining,Computer science,Information distance,Entropy (information theory),Case analysis | Journal | 6 |
Issue | ISSN | Citations |
2/3/4 | 1462-4613 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nan Feng | 1 | 0 | 0.34 |
| Sijing Cai | 2 | 0 | 0.34 |
| Li Yang | 3 | 0 | 0.34 |