Insurance claims adjusters are under great pressure to process insurance claims quickly. Now claims adjusters must determine liability, estimate damages, and deal with false or padded claims in a cost-efficient and timely manner. Extra investigation of a suspicious claim adds expense and delays settlement, but inaction could result in payment of a fraudulent claim and the potential for inviting future bogus claims. It is a difficult dilemma for even the most seasoned claims adjusters as most claims have some suspicious elements. Now you are asked to propose a DSS solution to help the claim adjusters identify and red flag various kinds of fraud. Could you please choose and justify which of the decision technology/approaches, expert systems or neural networks, that should be used and how your solution would work