Spherical Fuzzy Rough EDAS Method Under Einstein Aggregation Operators Applications in Cache Replacement Policy

Abstract

The cache replacement policy (CRP) can reduce cache redundancy, improve cache usefulness, and increase network efficiency in content-centric networks (CCN). The essential challenges in addressing CRP in (CCN) evaluation involve significant fuzziness. As a result, CRP evaluation is important. An effective way to capture fuzziness is the spherical fuzzy rough sets (SFRSs). This article aims to focus on multi-criteria group decision-making (MCGDM) using SFRSs settings and new SFRSs Einstein geometric aggregation operators. MCGDMs were developed by the proposed SFR-EDAS model. The effectiveness of the proposed method was empirically performed by cache replacement policy example and compared with the existing method.

Keywords

• Cache replacement policy
• content-centric networks
• EDAS method
• spherical fuzzy rough sets