Name
Title | ||
|---|---|---|
Covering based q-rung orthopair fuzzy rough set model hybrid with TOPSIS for multi-attribute decision making. |
Abstract | ||
|---|---|---|
In this manuscript we develop a comprehensive model to tackle decision making problems where strong points of view are in the favor and against some projects, entities or plans. Therefore a new approach is adopted to hybrid q-rung orthopair fuzzy sets with notions of covering rough set and TOPSIS. This model has stronger capability than intuitionistic fuzzy set and Pythagorean fuzzy set to manage the uncertainty. Furthermore an example is given to demonstrate how the proposed method helps us in decision making problems. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3233/JIFS-181832 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Fuzzy sets,q-rung orthopair fuzzy sets,q-rung orthopair fuzzy beta-covering,q-rung orthopair fuzzy beta-covering neighborhoods,covering based q-rung orthopair fuzzy rough set,q-rung orthopair fuzzy TOPSIS methodology | Fuzzy rough sets,Artificial intelligence,TOPSIS,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
37 | 1 | 1064-1246 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Azmat Hussain | 1 | 5 | 1.74 |
| Muhammad Irfan Ali | 2 | 469 | 27.32 |
| Tahir Mahmood | 3 | 95 | 28.76 |