2021
DOI: 10.1002/int.22377
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Abstract: Mobile edge caching scheme (MECS) can determine where, how, and what to cache on user equipment by employing its own storage. When considering the performance of MECS, it is often full of uncertainty. The q‐rung orthopair fuzzy set (q‐ROFS), characterized by membership and nonmembership degrees with adjustable parameter q, is quite a high‐efficiency way to capture uncertainty. In this paper, first, information measure (entropy, distance measure, and similarity measure)‐based area difference under the q‐rung o… Show more

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Cited by 25 publications
(11 citation statements)
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“…Wan et al [31] worked on the weight average LINMAP group decisionmaking based on q-rung orthopair fuzzy triangular. Peng et al [32] worked on the q-rung orthopair fuzzy decisionmaking system which was developed for implementing mobile edge caching method preferences. Peng and Luo [33] introduced a study that collects a total of 80 publications related to q-ROFS in Web of Science for in-depth analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Wan et al [31] worked on the weight average LINMAP group decisionmaking based on q-rung orthopair fuzzy triangular. Peng et al [32] worked on the q-rung orthopair fuzzy decisionmaking system which was developed for implementing mobile edge caching method preferences. Peng and Luo [33] introduced a study that collects a total of 80 publications related to q-ROFS in Web of Science for in-depth analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Also, overfitting can occur when there are too many features, which adversely affects training. [3][4][5] High-dimensional problems are frequently solved using regularization. The common regularization procedure is the lasso or L 1 penalty.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, Hussain et al [12] proposed the q-rung orthopair fuzzy soft aggregation operators and discussed their multi-criteria decision-making applications. The q-ROFS model was found to be more effective when extended to range of parameterizations and used in different domains [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%