Abstract | ||
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In this paper, we introduce three novel hybrid models, namely, intuitionistic fuzzy N-soft sets (IFNSSs), N-soft rough intuitionistic fuzzy sets and intuitionistic fuzzy N-soft rough sets (IFNSRSs). We discuss some of their respective properties. We also present the lower and upper intuitionistic fuzzy N-soft rough approximation operators and investigate their properties. Furthermore, we present respective new approaches to decision-making problems based on the IFNSS and IFNSRS models in an algorithmic format. Finally, we present illustrative examples in order to show that these decision-making methods can be fruitfully employed to solve real life problems. |
Year | DOI | Venue |
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2019 | 10.1007/s00500-019-03903-w | SOFT COMPUTING |
Keywords | Field | DocType |
N-soft sets,IFNSSs,IFNSRSs,Soft set,Rough set,Decision-making | Approximation operators,Computer science,Soft set,Fuzzy logic,Fuzzy set,Rough set,Theoretical computer science | Journal |
Volume | Issue | ISSN |
23.0 | 20.0 | 1432-7643 |
Citations | PageRank | References |
3 | 0.38 | 21 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Muhammad Akram | 1 | 63 | 15.02 |
Ghous Ali | 2 | 16 | 2.38 |
José C. R. Alcantud | 3 | 336 | 37.04 |