Affiliations: [a] Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan
| [b] Centre for Mathematics and Statistical Sciences, Lahore School of Economics, Lahore, Pakistan
| [c] Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al-Zulfi, Saudi Arabia
Correspondence:
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Corresponding author. Muhammad Gulistan, Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan. E-mail: gulistanmath@hu.edu.pk.
Abstract: There are many different techniques used so for in decision making problems. Some researchers used fuzzy sets, some used soft sets and some used combination of fuzzy sets with soft sets in order to handle the imprecise information. On the other hand, matrices play very important role in handling such problems. Different researchers used fuzzy matrices and fuzzy soft matrices in decision making problems. Some others generalized tools are Molodtsov’s soft sets, presented in 1999, Smarandache’s neutrosophic sets, in 1999, Jun’s cubic sets, in 2012 and Jun’s neutrosophic cubic sets in 2017. Our aim in this paper is to combine the above mentioned generalized tools and develop a new generalize approach namely neutrosophic cubic soft matrices. We first introduce the idea of Neutrosophic cubic soft aggregation operators with the help of neutrosophic cubic soft sets and then present the notion of neutrosophic cubic soft matrices and at the end, we present a max-min decision making problem using neutrosophic cubic soft matrices.
