多源信息云服务质量的犹豫模糊优劣IPA评价方法

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

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。

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.