Early collection system design using fuzzy rule based inference

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationDecision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014
EditorsRonei Marcos de Moraes, Etienne E. Kerre, Liliane dos Santos Machado, Jie Lu
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages11-16
Number of pages6
ISBN (Electronic)9789814619967
DOIs
Publication statusPublished - 2014
EventDecision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014 - Joao Pessoa, Paraiba, Brazil
Duration: 17 Aug 201420 Aug 2014

Publication series

NameDecision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014

Conference

ConferenceDecision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014
Country/TerritoryBrazil
CityJoao Pessoa, Paraiba
Period17/08/1420/08/14

Bibliographical note

Publisher Copyright:
© 2014 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.

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