Study on Chaotic Multi-Attribute Group Decision Making Based on Weighted Neutrosophic Fuzzy Soft Rough Sets

In this article, we have proposed a multi-attribute group decision making (MAGDM) with new scenario or condition named Chaotic MAGDM, in which not only the weights of makers (DMs) and attributes are considered, but also familiarity DMs considered. Then applied weighted neutrosophic fuzzy soft rough set theory to MAGDM algorithm for MAGDM. Moreover, provide case study demonstrate application algorithm. Our contributions literature as follows: (1) is rubbed into first time context sets; (2) model based on sets has been designed; (3) sorting/ranking constructed.