A multi-stage stochastic fuzzy methodology for credit evaluation

  • Minmin Guo*
  • , Li Wang
  • *Corresponding author for this work

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

Abstract

A credit evaluation methodology is developed to help decision makers identify the overall credit score which consists of financial score and non-financial score, according to the different qualifications of financial criteria system and non-financial criteria system. The proposed methodology above is able to search for dynamic evaluation about the hierarchical decision structure using stochastic AHP and fuzzy AHP. Finally, the proposed approach is verified through the application in construction industry. Based on the experimental results, the proposed approach performed well for uncertain datasets.

Original languageEnglish
Title of host publicationProceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering
PublisherSpringer Verlag
Pages441-447
Number of pages7
ISBN (Print)9783642316975
DOIs
StatePublished - 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume181 AISC
ISSN (Print)2194-5357

Keywords

  • credit evaluation
  • Credit score
  • fuzzy AHP
  • stochastic AHP

Fingerprint

Dive into the research topics of 'A multi-stage stochastic fuzzy methodology for credit evaluation'. Together they form a unique fingerprint.

Cite this