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Oracle Policy Automation provides complex eligibility and policy determinations using a patented linear inferencing algorithm for forward-chain inferencing. This algorithm is particularly suited to public sector organizations needing to make decisions based on legislation modeled in natural language and financial services companies that must model complex eligibility rules. In their experience, linear inferencing significantly outperforms the Rete algorithm, which is the standard approach used by the business rules industry. With its linear inferencing algorithm, Oracle Policy Automation can quickly and efficiently determine eligibility against even the most complex rule sets. Such capabilities make it valuable to both public sector organizations and financial services companies, both of which need to model complex eligibility rules in natural language.
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