A New Model for Insurance Fraud Detection in Car Accidents Using a Combined Fuzzy DEMATEL and ELECTRE-TRI Approach
Ehsan Taghiloo, Adel Azar, Ebrahim Nasiri, Hossein Ghaedrahmati

Abstract
Insurance Industry, as one of the most important instruments of the financial development triangle in advanced and developing countries, has continually attracted the attention of economical theorists, since the Insurance Influence Coefficient is counted as an important index for indicating economic development .Fraud and cheating are serious enemies of Insurance Industry. Also paying for counterfeit forged damages, as well as customer dissatisfaction are considered as main factors of Insurance Industry in Motor Insurance. This investigation tries to introduce an instrument to determine the amount of fraud in an accident. through considering the criteria of an accident, the importance of these criteria and using DEMATEL1 and ELECTRE-TRI2 decision-making techniques. The new introduced instrument is hoped to help companies discovers fraud and gain satisfaction from the honest customers by compensation them for their loss of the accidents.

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