EARLY COLLECTION SYSTEM DESIGN USING FUZZY RULE BASED INFERENCE

摘要

Early debt collection systems aim at collecting payments from the creditors with a minimum cost before the legal procedure. Our study develops a fuzzy inference system for early debt collection problems including the inputs amount of loan, wealth of debtor, past history of debtor, and amount of other debts and the output possibility of repaying the debt and the way of communication. Thus maximum collection of debts before legal process with minimum cots can be achieved.