EARLY COLLECTION SYSTEM DESIGN USING FUZZY RULE BASED INFERENCE

Çevik Onar S., Oztaysi L., Kaiiraman C.

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Joao Pessoa, Brazil, 17 - 20 August 2014, vol.9, pp.11-16 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 9
  • City: Joao Pessoa
  • Country: Brazil
  • Page Numbers: pp.11-16
  • Istanbul Technical University Affiliated: Yes

Abstract

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.