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