Pythagorean fuzzy soft decision-making method for cache replacement policy selection in fog computing

被引：2

作者：

Peng, Xindong ^{[1
,2
]}

Sun, Dongting ^{[1
]}

Luo, Zhigang ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Comp, Changsha 410073, Peoples R China

[2] Shaoguan Univ, Sch Informat Engn, Shaoguan 512005, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2022年 / 13卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Cache replacement policy; Fog computing; Pythagorean fuzzy soft set; Score function; CoCoSo; CRITIC; AGGREGATION OPERATORS; SET; ALGORITHM; LIFETIME;

D O I：

10.1007/s13042-022-01619-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The cache replacement policy in fog computing is of great concern to improve CPU cache hit ratio, reduce CPU access to memory time, decrease CPU data acquisition time, and improve system efficiency. When discussing the cache replacement policy selection, the primary problem involves enormous indeterminacy. Pythagorean fuzzy soft set (PFSS), characterized by the parameterized modality of membership and non-membership, is a more useful means to depict indeterminacy. In this article, the comparison issue of Pythagorean fuzzy soft numbers (PFSNs) is managed by novel score function. Subsequently, certain properties for Pythagorean fuzzy soft matrix are explored in detail. In addition, the objective weight is determined by Criteria Importance Through Inter-criteria Correlation (CRITIC) approach while the integrated weight is calculated by simultaneously revealing subjective weight information and the objective weight preference. Then, Pythagorean fuzzy soft decision-making method based on Combined Compromise Solution (CoCoSo) is investigated for solving the low discrimination issue. Finally, the efficacy of our method is verified by the cache replacement policy selection in fog computing.

引用

页码：3663 / 3690

页数：28

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