[1]张理志,苑明海*,周开俊,等.云制造服务综合评价方法研究[J].计算机技术与发展,2021,31(04):21-27.[doi:10. 3969 / j. issn. 1673-629X. 2021. 04. 004]
 ZHANG Li-zhi,YUAN Ming-hai*,ZHOU Kai-jun,et al.Research on Comprehensive Evaluation Method ofCloud Manufacturing Service[J].,2021,31(04):21-27.[doi:10. 3969 / j. issn. 1673-629X. 2021. 04. 004]
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云制造服务综合评价方法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年04期
页码:
21-27
栏目:
大数据分析与挖掘
出版日期:
2021-04-10

文章信息/Info

Title:
Research on Comprehensive Evaluation Method ofCloud Manufacturing Service
文章编号:
1673-629X(2021)04-0021-07
作者:
张理志12 苑明海12* 周开俊3 李亚东12
1. 河海大学 机电工程学院,江苏 常州 213000;
2. 南通河海大学 海洋与近海工程研究院,江苏 南通 226300;
3. 南通职业大学,江苏 南通 226300
Author(s):
ZHANG Li-zhi12 YUAN Ming-hai12* ZHOU Kai-jun3 LI Ya-dong12
1. School of Mechanical and Electrical Engineering,Hohai University,Changzhou 213000,China;
2. Institute of Marine and Offshore Engineering,Hohai University,Nantong, 226300,China;
3. Nantong Vocational University,Nantong 226300,China
关键词:
云制造层次分析法熵权法服务评价评价指标
Keywords:
cloud manufacturinganalytic hierarchy processentropy weight methodservice evaluationevaluation index
分类号:
TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 04. 004
摘要:
作为云制造平台中的关键技术之一,云制造服务的综合评价对于整个云制造资源配置至关重要,在云制造服务综合评价中,服务资源的评价是综合评价的基础。 针对云制造服务评价问题,根据云制造服务评价体系中评价指标的多样性与云制造服务特点相匹配,基于模糊理论中的模糊数学,建立了模糊综合评价模型,并确定了由层次分析法和熵权法组合确定权重的方法。 再根据云制造环境下评价指标的构建原则,选取了七个一级指标和十六个二级评价指标,以上述指标构建了多层次云制造服务评价因素集和对象评语集,从而建立了云制造服务资源综合评价指标体系。 最后,通过云制造服务实例验证了该云制造服务综合评价模型及模糊综合评价算法的操作简便性及实用性。
Abstract:
As one of the key technologies in the cloud manufacturing platform,comprehensive evaluation of cloud manufacturing servicesis crucial to the overall cloud manufa-cturing resource allocation. In the comprehensive evaluation of cloud manufacturing services,the evaluation of service resources is the basis of comprehensive evaluation. For the evaluation of cloud manufacturing services,according tothe diversity of the evaluation indicators in the cloud manufacturing service evaluation? ? system and the characteristics of cloud manufacturing services,based on fuzzy mathematics in fuzzy theory, a fuzzy comprehensive evaluation model is established? ? and the method of weight determination by the combination of analytic hierarchy process and entropy weight is determined. According to the construction principles of evaluation indicators in the cloud manufacturing environment,seven first-level indicators and sixteen second-level evaluation indicators are selected to construct a multi-level cloud manufacturing service evaluation factor set and object comment set,thereby establishing a cloud comprehensive evaluation index system of manufacturing service resources. Finally,the cloud manufacturing service comprehensive evaluation model and the fuzzy comprehensive evaluation algorithm are proved to be simple and practical in operation through an example of cloud manufacturing service.

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更新日期/Last Update: 2020-04-10