When CCN meets MCGDM: optimal cache replacement policy achieved by PRSRV with Pythagorean fuzzy set pair analysis

摘要

Cache replacement policy (CRP) in content-centric network (CCN) can reduce cache redundancy, optimize cache utility, and improve network performance. When assessing the CRPs in CCN, it is often full of great uncertainty. Set pair analysis (SPA) is a pioneering uncertainty theory, which consists of three components of the connection number (CN), and overlaps with Pythagorean fuzzy set. The goal of this article is to concentrate on multi-criteria group decision-making (MCGDM) method under Pythagorean fuzzy SPA environment. For it, some revised Pythagorean fuzzy aggregation operators are given for integrating multiple group information as one. Then, the CN has been constructed, and the distance measure between CNs is proposed. Later, the CN score function based distance measure is introduced for dealing with the comparison issue. In addition, the combined weight determining method by fusing the subjective weight preference and objective weight technology (water-filling theory) is shown. Subsequently, the PRSRV MCGDM approach fusing with aggregation operator, distance measure, score function and combined weight is developed for evaluating CRPs. In the end, a comparison with some existing approaches indicates that the developed approach has strong data adaptability.