Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection
Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection
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DOI：
10.1007/s10462-021-09995-x
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发表时间：
2021-05
影响因子：
12
通讯作者：
Xindong Peng;Harish Garg
中科院分区：
文献类型：
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作者：
Xindong Peng;Harish Garg
CCN缓存放置策略非常关注优化网络的能耗，并提供更好的安全性和交付效率。在考虑CCN缓存放置策略评估时，基本问题常常涉及很大的不确定性。直觉模糊软集以隶属度和非隶属度的参数化形式来描述，是一种更有效的捕捉不确定性的模式。本文通过新的评分函数解决了直觉模糊软（IFS）环境中的比较问题。随后，详细探讨了 IFS 矩阵的一些新特性。另外，客观权重信息是通过CRITIC方法确定的。同时，通过同时揭示主观权重偏好和客观权重信息来计算组合权重。然后，提出了基于CoCoSo(Combined Compromise Solution)的IFS决策方法。最后通过CCN缓存放置策略的选择以及相应的敏感性分析阐述了该方法的有效性。所探索的算法的主要特点如下：（1）没有违反直觉的现象； （二）无数据要求的； (3)具有较强的辨别能力。
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.