Abstract
This article introduces cloud model to estimation of quality of service for voice communication network. It presents ideas of design, implementation procedure, carries out analysis of related key techniques, puts forward an improved backward cloud generator algorithm and conducts validating experiments. The results show that this model can handle the fuzziness and randomness of voice communication network well, adjust to uncertainty that hyper-entropy brings, reduce the impact of human factors, estimate grade of quality of service for voice communication network correctly and provide strong fundaments for further proper measures. It preserves the inherent uncertainty in the process of estimating at most and improves reliability of estimating results.
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