Name
Abstract | ||
|---|---|---|
An intuitionistic fuzzy rough model is a hybrid model which is made by combining two mathematical models namely, intuitionistic fuzzy sets and rough sets. This hybrid model deals with soft computing and vagueness by using the lower and upper approximation spaces. In this research study, the concept of intuitionistic fuzzy rough sets is applied to graphs. The notion of intuitionistic fuzzy rough graphs and various methods of their construction are presented. An application of intuitionistic fuzzy rough graphs in decision-making problem is discussed. In particular, an efficient algorithm is developed to solve decision-making problems. Time complexity of proposed algorithm is computed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3233/JIFS-171395 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Intuitionistic fuzzy rough graphs,algorithms,decision-making | Graph,Fuzzy logic,Theoretical computer science,Artificial intelligence,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
34 | 4 | 1064-1246 |
Citations | PageRank | References |
4 | 0.40 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hafsa M. Malik | 1 | 4 | 0.73 |
| Muhammad Akram | 2 | 43 | 6.36 |