A New Multi-Attribute Decision-Making Method Based on m-Polar Fuzzy Soft Rough Sets

نویسندگان

  • Muhammad Akram
  • Ghous Ali
  • Noura Omair Alshehri
چکیده

We introduce notions of soft rough m-polar fuzzy sets and m-polar fuzzy soft rough sets as novel hybrid models for soft computing, and investigate some of their fundamental properties. We discuss the relationship between m-polar fuzzy soft rough approximation operators and crisp soft rough approximation operators. We also present applications of m-polar fuzzy soft rough sets to decision-making.

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عنوان ژورنال:
  • Symmetry

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2017