Name
Title | ||
|---|---|---|
A novel method to use fuzzy soft sets in decision making based on ambiguity measure and Dempster-Shafer theory of evidence: An application in medical diagnosis. |
Abstract | ||
|---|---|---|
Three numerical examples and an application in medical diagnosis are provided to demonstrate adequately that, on the one hand, our proposed method is feasible and efficient; on the other hand, our proposed method can reduce uncertainty caused by people's subjective cognition and raise the choice decision level with the best performance. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.artmed.2016.04.004 | Artificial Intelligence in Medicine |
Keywords | Field | DocType |
Decision making,Dempster–Shafer evidence theory,Belief function,Target recognition,Information fusion,Fuzzy soft set,Ambiguity measure,Medical diagnosis | Data mining,Certainty,Ranking,Computer science,Fuzzy logic,Uncertainty analysis,Artificial intelligence,Type-2 fuzzy sets and systems,Dempster–Shafer theory,Ambiguity,Machine learning,Medical diagnosis | Journal |
Volume | ISSN | Citations |
69 | 0933-3657 | 22 |
PageRank | References | Authors |
0.62 | 43 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianwei Wang | 1 | 22 | 0.62 |
| Yong Hu | 2 | 364 | 17.04 |
| Fuyuan Xiao | 3 | 201 | 19.11 |
| Xinyang Deng | 4 | 426 | 29.66 |
| Yong Deng | 5 | 1248 | 83.34 |