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The proposed SLA is developed within the Evidence Theory framework.
In Section 3, the DS evidence theory is briefly reviewed and two SI suppression schemes based on the DS evidence theory are proposed.
The indirect trust evaluation with Evidence theory and DST is depicted in Algorithm 2.
Evidence theory provides a proper tool when there is incomplete or imperfect information.
In particular, several researchers have investigated the relationship between fuzzy sets and DS evidence theory.
The fault diagnosis model of multiple faults is given based on evidence theory.
Decisions generated from different models are combined together through the Dempster-Shafer evidence theory.
Then, we bring out an Evaluation Model of enterprise immunity based on D-S Evidence Theory.
In this paper, Evidence Theory is proposed to crystallise the inherent uncertainties.
The probabilistic model methods are Bayesian reasoning, evidence theory, robust statistics, recursive operators.
Finally, we investigate the relationships between the covering approximation operators and evidence theory.
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