• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 人工智能与数据挖掘 • 上一篇    下一篇

多源信息云服务质量的犹豫模糊优劣IPA评价方法

彭定洪1,2,陈文妮1,2,曾洪鑫3,武金福4   

  1. (1.昆明理工大学管理与经济学院,云南 昆明 650093;2.昆明理工大学质量发展研究院,云南 昆明 650093;
    3.东莞理工学院经济与管理学院,广东 东莞 523000;4.楚雄供电局,云南 楚雄 675000)
     
  • 收稿日期:2019-06-10 修回日期:2019-11-01 出版日期:2020-05-25 发布日期:2020-05-25
  • 基金资助:

    国家自然科学基金(71861018,61364016);云南省哲学社会科学规划项目(YB2019067);中国博士后科学基金(2015T80990,2014M550473);云南省应用基础研究计划项目 (2014FB136)

A hesitant fuzzy pros and cons IPA evaluation method for
the quality of multi-source information cloud service
 

PENG Ding-hong1,2,CHEN Wen-ni1,2,ZENG Hong-xin3,WU Jin-fu4   

  1. (1.Institute of Quality Development,School of Management and Economics,
    Kunming University of Science and Technology,Kunming 650093;
    2.Institute of Quality Development,Kunming University of Science and Technology,Kunming 650093;
    3.School of Economics and Management,Dongguan University of Technology,Dongguan 523000;
    4.Chuxiong Power Supply Bureau,Chuxiong 675000,China)
  • Received:2019-06-10 Revised:2019-11-01 Online:2020-05-25 Published:2020-05-25

摘要:

为有效评价多源信息云服务质量水平,在IPA框架下提出了一种以指标优劣水平为性能度量的犹豫模糊方法。首先,从用户满意角度构建了多源信息云服务质量评价的IPA层次结构框架;接着,以犹豫模糊集表述评价信息,基于参考解依赖评价规则,融合TOPSIS方法的最优与最劣参考解和EDAS方法的平均参考解,提出了一种以指标优劣水平为性能度量的犹豫模糊IPA分析方法,用于多源信息云服务质量评估。此外,考虑到现有的犹豫模糊距离测度无法度量不对称信息问题,构建了一种基于Squared-χ2的犹豫模糊测度。最后,以东莞A企业多源信息云服务质量评价为实例进行分析,结果表明了该方法的可行性,并通过与近似方法的对比分析可知,该方法能够有效评价多源信息云服务质量。

 

关键词: 多源信息云服务, 质量评价, 犹豫模糊集, IPA方法, Squared-&chi, 2距离测度

Abstract:

In order to effectively evaluate the quality level of multi-source information cloud service, a hesitant fuzzy method based on the pros and cons of the indicators is proposed under the IPA framework. Firstly, the IPA hierarchical structure framework of multi-source information cloud service quality evaluation is constructed from the perspective of user satisfaction. Secondly, the hesitation fuzzy set is used to express the evaluation information. Based on the reference solution-dependent evaluation rules, the optimal and worst reference solutions in the TOPSIS method and the average reference solution in the EDAS method are fused together to develop a hesitant fuzzy IPA analysis method based on the pros and cons of the indicators for the multi-source information cloud service quality evaluation. In addition, considering that the existing hesitant fuzzy distance measurement method cannot measure the asymmetric information problem, a hesitant fuzzy measurement method based on Squared-χ2  is constructed. Finally, the multi-source information cloud service evaluation of a Dongguan enterprise is taken as an example to verify the feasibility of the proposed method. Comparison with other similar methods shows that the method can effectively evaluate the quality of multi-source information cloud service.

Key words: multi-source information cloud service, quality evaluation, hesitant fuzzy set, IPA method, Squared-&chi, 2 distance measure