Affiliations: [a]
Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
| [b]
BORDA Research Unit and IME, University of Salamanca, 37007 Salamanca, Spain
Correspondence:
[*]
Corresponding author. Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan. E-mail: m.akram@pucit.edu.pk.
Abstract: The theory of soft sets is a powerful mathematical tool to handle the vagueness in data, while the m-polar fuzzy (mF, for short) sets have ability to deal with uncertainty as well as multi-polarity of the data in many situations. In this research article we present two novel hybrid models for soft computing, namely, m-polar fuzzy N-soft sets ((m, N)-soft sets, for short) and m-polar fuzzy N-soft rough sets ((m, N)-soft rough sets, for short). We define related concepts and investigate some of their fundamental properties. We also present applications of these hybrid models to multi-attribute decision-making.
