An Entropy-weighted Multi-attribute Combination Method for Software Trustworthiness Classification Assessment

We introduce an entropy-weight multi-attribute combination method for software trustworthiness classification assessment, which using evidence classification to combine multiple trust evidence, employing uncertain entropy to calculate the weight of each trust attributes, and then combining the trust level of the evaluated software. The method has solved the trust evidence conflict, as well as multiple attribute weights allocation problem, so that the result is more accurate. At last, the feasibility of this method is verified by specific implementation.