Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection

摘要

The CCN cache placement strategy is of great concern to optimize the energy consumption of the network, and provide better security and delivery efficiency. When considering the CCN cache placement strategy evaluation, the fundamental issues frequently involve great uncertainty. Intuitionistic fuzzy soft set, portrayed by the parameterized form of membership and nonmembership, is a more effectual pattern for seizing uncertainty. In this article, the comparison problem in intuitionistic fuzzy soft (IFS) environment is solved by new score function. Later, some novel properties of IFS matrix are explored in detail. In addition, the objective weight information is determined by CRITIC approach. At the same time, the combined weight is calculated by revealing concurrently subjective weight preference and the objective weight information. Then, IFS decision making method based CoCoSo (Combined Compromise Solution) is proposed. Finally, the effectiveness of the method is elaborated by CCN cache placement strategy selection, along with corresponding sensitivity analysis. The dominating traits of the explored algorithm are listed as follows: (1) have no counterintuitive phenomena; (2) without data requirements; (3) own strong discriminating ability.