TOPSIS

In this paper, the generalization of TOPSIS for the neutrosophic hypersoft set is proposed.

From the literature survey, it is observed that the Multi-attribute decision-making techniques like TOPSIS have not been implemented to find the optimal setting during Tungsten powder mixed drilling (W-PEDD) of INC718 alloy.

In section 3 we discuss our proposed hybrid selection approach based on AHP method and Grey TOPSIS method.

The objective of our proposed handover scheme is to reduce unnecessary handovers through pre-selection function and utilizing Fuzzy TOPSIS decision algorithm for dynamic access selection.

The TOPSIS method chooses the variant that is closest to the pre-set ideal and at the same time the furthest from the basal variant.

Chen, "Extensions of the TOPSIS for group decision-making under fuzzy environment," Fuzzy Sets and Systems, vol.

The TOPSIS method is expressed in a succession of six steps as follows.

Make the final evaluation with TOPSIS method on the factor comprehensive score [y.sub.t,i] of the object set [S.sub.ti] (i = 1, 2, ..., n; t = 1, 2, ...

This paper proposes Multi-Attribute Intuitionistic Fuzzy Group Decision Method (MAIFGDM) which uses TOPSIS for the selecting the suitable candidate network from available heterogeneous wireless networks.