Reference no: EM1317190

Insurance claims adjusters are under the great pressure in order to process the insurance claims rapidly. Now claims adjusters should find the liability, estimate damages, and deal with the false or padded claims in the cost-efficient and timely manner. Extra investigation of the suspicious claim adds the expense and delays settlement; however inaction might result in payment of the fraudulent claim and potential for inviting the future bogus claims. It refers to a difficult dilemma for even the most seasoned claims adjusters as most claims have some suspicious elements. Now you are asked to suggest a DSS solution in order to help the claim adjusters recognizes and red flag various types of fraud. Could you please select and justify which of the decision technology/approaches, expert systems or the neural networks, which must be used and how your solution would work?