Name
Title | ||
|---|---|---|
Information fusion and numerical characterization of a multi-source information system. |
Abstract | ||
|---|---|---|
•In order to take fully advantage of evidence theory and integrate multi-granulation structures, we propose the novel definitions of multi-source rough approximations and corresponding multi-granulation rough approximations, probability distribution and basic probability assignment, then construct the connection between rough approximations and evidence theory.•The results in (1) are extended to multi-source covering information system.•Two Shannon’s fusion algorithms based on equivalence relations and coverings, involved in the significance degree of condition attributes set with respect to a sample, conditional probability and information entropy, are presented to measure the classification uncertainty degree of a decision class or a decision partition in a multi-source information system, respectively.•By combining the significance degree and conditional probability, defined in this paper, we design a multi-granulation probabilistic rough set and considered the relationship with Multi-granulation rough set. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.knosys.2018.01.008 | Knowledge-Based Systems |
Keywords | Field | DocType |
Uncertainty measure,Covering,Multi-granulation rough set,Evidence theory,Multi-granulation variable precision rough set,Information fusion | Data mining,Conditional probability,Binary relation,Computer science,Uncertain data,Theoretical computer science,Rough set,Granular computing,Probability distribution,Probability theory,Entropy (information theory) | Journal |
Volume | ISSN | Citations |
145 | 0950-7051 | 5 |
PageRank | References | Authors |
0.45 | 40 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoya Che | 1 | 7 | 2.16 |
| Ju-Sheng Mi | 2 | 2054 | 77.81 |
| Degang Chen | 3 | 1500 | 45.65 |