Name
Abstract | ||
|---|---|---|
Fuzzy sets and rough sets are two different mathematical models to cope with vagueness, but they are correlated. Dubois and Prade combined these two sets to make new hybrid models including fuzzy rough sets and rough fuzzy sets. In this research study, we introduce several basic notions, concerning rough fuzzy digraph, and investigate some related properties. We present applications of rough fuzzy digraphs in decision-making problems. In particular, we develop efficient algorithms to solve decision-making problems. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s40815-017-0368-0 | Int. J. Fuzzy Syst. |
Keywords | Field | DocType |
Rough fuzzy relation, Rough fuzzy digraph, Decision making, Algorithm, 03E72, 68R10, 68R05 | Defuzzification,Fuzzy set operations,Fuzzy set,Rough set,Artificial intelligence,Fuzzy number,Type-2 fuzzy sets and systems,Membership function,Dominance-based rough set approach,Mathematics | Journal |
Volume | Issue | ISSN |
20 | 3 | 2199-3211 |
Citations | PageRank | References |
15 | 0.60 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fariha Zafar | 1 | 16 | 1.29 |
| Muhammad Akram | 2 | 365 | 54.94 |