Cloud manufacturing service matching method based on interval numbers and grey correlation degree

被引：0

作者：

Ma R. ^{[1
]}

Chen J. ^{[2
]}

Guo G. ^{[1
]}

机构：

[1] School of Automotive Engineering, Chongqing University, Chongqing

[2] Department of Oil Supply Engineering, Logistical Engineering University, Chongqing

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2022年 / 28卷 / 03期

关键词：

Cloud manufacturing; Gray correlation; Interval; Service matching;

D O I：

10.13196/j.cims.2022.03.024

中图分类号：

学科分类号：

摘要：

To solve the matching problem of cloud manufacturing services under actual conditions, the uncertainty of service attributes and the subjective preference of demand side were taken into consideration. An integrated matching approach for cloud manufacturing services based on interval numbers and gray correlation degree was proposed. The quality of service was described with interval numbers while the matching similarity of quality of service was calculated by using grey correlation degree. The type, description and quality of services were matched, filtered and ranked to get service recommendation, and a users' feedback adjustment method was also proposed. Furthermore, mathematical examples and comparative studies were carried out. The results illustrated that the proposed method had better precision and recall and also verify the feasibility, accuracy and stability of the proposed method. The whole study shows that the method could effectively match and recommend cloud manufacturing services which meet the subjective preference for demand side. © 2022, Editorial Department of CIMS. All right reserved.

引用

页码：918 / 926

页数：8

共 23 条

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