Fuzzy soft graphs are effective mathematical tools that used to model the vagueness of real world. A fuzzy graph is a fusion set and widely across different fields. In this current research, concept picture presented by combining theory sets with graphs. The introduction new an emerging can be rather developed into various theoretical concepts. Since most usable in real-life applications, newly...

This paper discusses various techniques for soft decision making by neural networks. Decision making problems are described as choosing an action from possible alternatives using available information. In the context of soft decision making, a single action is not always chosen. When it is di cult to choose a single action based on available information, the decision is withheld or a set of pro...

The primary aim of this article is to extend the bipolar fuzzy N -soft sets with concern pursuing periodicity involved real-world problems and introduce a new multiskilled hybrid model, namely, complex id="M2"> sets. novel model possesses parametric characteristics versatile id="M3"> set enjoys distinguished attributes h...

The main objective of the paper is to propose generalized neutrosophic soft multi criteria decision making based on grey relational analysis. The concept of generalized neutrosophic soft sets has been derived from the hybridization of the concepts of neutrosophic set and soft set. In this paper we have defined neutrosophic soft weighted average operator in order to aggregate the individual deci...