In this research paper, the notions of rough m-polar fuzzy (mF, for short) sets and mF soft sets, as new hybrid models for soft computing, are introduced and some of their fundamental properties are investigated. Rough degrees of mF sets are computed. In addition, potential applications of rough mF sets and mF soft sets to decision-making problems are explored.
MolodtsovD.A., Soft set theory- First results, Comput Math with Appl37(4-5) (1999), 19–31.
19.
PawlakZ., Rough sets, Int J Comput Inf Sci11(5) (1982), 341–356.
20.
PawlakZ., Rough sets. Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Boston, 1991.
21.
PawlakZ., Rough set theory and its applications, J Tele Inf Tech3 (2002), 7–10.
22.
SaleemA., AslamM. and UllahK., Bipolar fuzzy soft sets and its applications in decision making problem, J Intell Fuzzy Syst27(2) (2014), 729–742.
23.
XiaoZ., GongK. and ZouY., A combined forecasting approach based on fuzzy soft sets, J Comput Appl Math228(1) (2009), 326–333.
24.
YangB. and HuB.Q., On some types of fuzzy covering-based rough sets, Fuzzy Sets Syst312 (2017), 36–65.
25.
YükselS., Güzel ErgülZ., and TozluN., Soft covering based rough sets and their application, Sci World J (2014), .
26.
YükselS., TozluN. and DizmanT.H., An application of multicriteria group decision making by soft covering based rough sets, Filomat29(1) (2015), 209–219.
ZhanJ. and AlcantudJ.C.R., A novel type of soft rough covering and its application to multicriteria group decision making, Artif Intell Rev (2018), 1–30.
29.
ZouY. and XiaoZ., Data analysis approaches of soft sets under incomplete information, Knowledge-Based Syst21(8) (2008), 941–945.