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Article type: Research Article
Authors: Akram, Muhammada; * | Ali, Ghousa | Alcantud, José Carlos R.b
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: [email protected].
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.
Keywords: N-soft sets, (m, N)-soft sets, soft set, rough set, decision-making , 2010 Mathematics Subject Classification
DOI: 10.3233/JIFS-182616
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6325-6342, 2019
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