When content-centric networking meets multi-criteria group decision-making: Optimal cache placement policy achieved by MARCOS with q-rung orthopair fuzzy set pair analysis

Abstract

Assessing the cache placement policy (CPP) is a crucial step in the deployment process of content-centric networking (CCN), which is still an open question. In this paper, assessing the CPP is formulated to be a multi-criteria group decision-making (MCGDM) issue since it involves the consideration of multiple experts, and a new aggregated MCGDM algorithm is presented for dealing with this issue. On that account, an assessment criteria system is to formulate to portray these experts’ considerations for assessing CPPs, and then the concepts of q-rung orthopair fuzzy set (q-ROFS) and set pair analysis (SPA) are presented to directly and indirectly define the group preference information of CPPs with respect to the criteria, respectively. Later, some revised aggregation operators are employed for aggregating the group preference information. Then, a new integrated objective criteria weights (IOCW) method based on score value and combined criteria weights based on non-linear comprehensive method are given for determining the important degrees of criteria. Based on IOCW method, non-linear comprehensive method, score function, distance measure, and aggregation operators, a new integrated q-rung orthopair fuzzy MCGDM model based on MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) method is developed to rank CPPs. Finally, an example is given to illustrate the evaluation process of CPP, and the advantages of developed method are verified by comparative analysis.