DESIGNING ANIF-THENRULES-BASED ENSEMBLE OF HETEROGENEOUS BANKRUPTCY CLASSIFIERS: A GENETIC ALGORITHM APPROACH-Reference-Cited by-同舟云学术

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DESIGNING ANIF-THENRULES-BASED ENSEMBLE OF HETEROGENEOUS BANKRUPTCY CLASSIFIERS: A GENETIC ALGORITHM APPROACH

Published:2014-06-12 Issue:3 Volume:21 Page:129-153
ISSN:1055-615X
Container-title:Intelligent Systems in Accounting, Finance and Management
language:en
Short-container-title:Intell. Sys. Acc. Fin. Mgmt.

Author:

Davalos Sergio¹,Leng Fei¹,Feroz Ehsan H.¹,Cao Zhiyan¹

Affiliation:

1. Milgard School of Business; University of Washington-Tacoma; Tacoma WA USA

Publisher

Wiley

Subject

Finance,General Business, Management and Accounting

Reference71 articles.

1. Comparing the performance of market-based and accounting-based bankruptcy classification models;Agarwal;Journal of Banking & Finance,2008

2. Error reduction through learning multiple descriptions;Ali;Machine Learning,1996

3. Altman E 2000 Predicting financial distress of companies: revisiting the Z -score and ZETA® models http://pages.stern.nyu.edu/~ealtman/Zscores.pdf

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