Cloud service trust evaluation method based on multi-parameter interval number multi-attribute decision-making

Abstract

The invention discloses a cloud service trust evaluation method based on multi-parameter interval number multi-attribute decision-making. The method comprises the following steps: first collecting QoS index data in a multi-parameter interval number form, and listing a decision-making matrix, converting an index value in the multi-parameter interval number form into a binary connection number, and then normalizing the decision-making matrix according to the cost type and the benefit type to obtain a normalized decision-making matrix; secondly, determining the QoS index weight based on the unknown weight setting of the attribute weight of the connection number; and finally performing the cloud service trust evaluation by use of a principle value model based on the normalized decision-making matrix and the QoS index weight. By use of the evaluation method disclosed by the invention, the QoS index data is collected in the multi-parameter interval number form and then normalized so as to guarantee the reality and the objectivity of the data; the index weight is determined based on the unknown interval number multi-attribute decision-making method of the attribute weight of the connection number, thereby improving the objectivity of the decision-making; the cloud service trust evaluation is performed according to the principle value model, the time complexity of the evaluation method is lowered. The evaluation method disclosed by the invention has strong objectivity and practicability.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a cloud service trust evaluation method based on multi-parameter interval number and multi-attribute decision-making. Background technique [0002] With the development of networks, giant computing and big data, commercial-oriented cloud computing has been vigorously promoted, and more and more enterprises have launched cloud services. Faced with many cloud services with the same or similar functions but different qualities, how to objectively evaluate their trust and provide users with personalized recommendations has become an urgent problem in the field of cloud computing. There are many deficiencies in the traditional cloud service trust evaluation methods: the existing web service evaluation model cannot adapt to new needs; there is a lack of quantitative methods for cloud service quality measurement from multiple aspects, and the evaluation is not accurate enough; the evaluat...

AI Technical Summary

Problems solved by technology

There are many deficiencies in traditional cloud service trust evaluation methods: applying the ready-made web service evaluation model cannot adapt to new needs; there is a lack of quantitative methods for cloud service quality measurement from multiple aspects, and the evaluation is not accurate enough; the evaluation system is limited to a certain cloud service. Several indicators make it difficult to expand; the use of certain QoS values ​​for trust assessment lacks a limit to the scope of cloud service indicators; too many subjective evaluation factors are added to the setting of indicator weights, and the trust assessment of cloud services lacks objectivity, etc.

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