摘要： 结合交易信息的可信性以及服务质量（QoS）信息的动态性，提出一种基于区块链技术的科技服务信任评价方案。分析区块链技术在科技服务交易场景下的可行性并将其运用于评价过程中，保证评价的QoS数据可信。采用区间数模型对数据进行区间化处理，通过比较QoS信息与用户需求之间的差异，计算出区间数可能度作为评价矩阵，实现科技服务的综合评价。将熵权法与层次分析法相结合确定混合权重，提高评价结果的准确性。针对科技服务的冷启动问题，利用动静结合的方式对QoS进行综合评价并应用TOPSIS方法计算排名，保证评价结果的全面性。通过对交易合约的开发、部署与调试验证了该方案的可行性，确保了交易过程的可靠性。实验结果表明，该方案相比于基于URDQ与Entropy-TOPSIS的服务信任评价方案结果更全面与准确。

关键词: 服务质量, 区块链, 区间数模型, 综合信任评价, 交易合约

Abstract: This study combines the reliability of transaction information with dynamic Quality of Service(QoS) information and proposes a technology service trust evaluation scheme based on blockchain technology.First, the scheme analyzes the feasibility of blockchain technology in the technology service transaction scenario and applies it to the evaluation process to ensure the credibility of the evaluated QoS data.Subsequently, the interval number model is used to process the data in intervals.By comparing the difference between the QoS information and user requirements, the interval number possibility is calculated as an evaluation matrix to comprehensively evaluate the technology services. Second, the entropy weight and analytic hierarchy process methods are combined to determine the mixed weight to improve the accuracy of the evaluation results.To address the cold start problem of technology services, the QoS is comprehensively evaluated using a combination of dynamic and static methods, and the ranking is calculated using the TOPSIS method to ensure the comprehensiveness of the evaluation results.Finally, the feasibility of this scheme is verified through the development, deployment, and debugging of the transaction contract, which ensures the reliability of the transaction process.Experimental results show that this scheme is more accurate than the service trust evaluation scheme based on URDQ and Entropy-TOPSIS.

Key words: Quality of Service(QoS), blockchain, interval number model, comprehensive trust evaluation, transaction contract

中图分类号: 

• TP309.2