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In the broker architecture of the grid environment, the grid is divided (logically) into multiple domains, where in each domain multiple entities (consumers and resource providers (RP)) co-exist along with a number of brokers. Each entity will be associated with more than one broker to ensure reliability and eliminate single point failure. The brokers' task is to select an appropriate resource provider (RP) to provide a resource to the consumer requesting it. At the end of any transaction, the consumer is expected to submit a feedback to the broker. This feedback will be evaluated by the broker for genuineness. By doing so, the trust-index of the RP is safe guarded against dishonest ratings given by the consumer. When the feedback of a particular transaction is found to be dishonest, the consumer's trust-index is reduced. In order to predict a feedback in case of a transaction with dishonest feedback, we propose a one-dimensional interpolation technique. This appropriate (close to true) feedback can be used to compute the new trust-index of RP. The first-hand feedback of an honest consumer is rated according to the broker's feedback and then used in the computation of trust-index of RP.