In this article, we introduce a new hybrid model called Dual Hesitant N-Soft Sets (DHNSS). This is clarified and reformulated as combination of dual hesitancy with N-soft sets. We investigate the basic operations DHNSS. Our novel illustrated real life examples. Moreover, propose decision making algorithm to see application model.

In this paper, we firstly defined neutrosophic parameterized neutrosophic soft sets(npn−soft sets) which is combination of a neutrosophic sets and a soft sets. Our npn−soft sets generalizes the concept of the other soft sets such as; fuzzy soft sets, intuitionistic fuzzy soft sets, neutrosophic soft sets, fuzzy parameterized soft sets, intuitionistic fuzzy parameterized soft sets, neutrosophic ...

| We have recently introduced a framework for the reuse of knowledge from previously trained classiiers to improve performance in a current, possibly related classi-cation task. This framework requires the use of a supra-classiier, which makes a classiication decision based on the outputs of a large number of previously trained diverse classiiers. We discuss the performance requirements of a go...

Through the concepts of supra open sets and we introduce a new class separation axioms study some their properties. We could comparative between these two items. At last investigate hereditary other properties them