A Multicriteria Decision Aid Methodology for Sorting Decision Problems: The Case of Financial Distress

This file is part of IDEAS, which uses RePEc data

A Multicriteria Decision Aid Methodology for Sorting Decision Problems: The Case of Financial Distress

Author Info

Zopounidis, Constantin
Doumpos, Michael

Abstract

Sorting problems constitute a major part of real world decisions, where a set of alternative actions (solutions) must be classified into two or more predefined classes. Multicriteria decision aid (MCDA) provides several methodologies, which are well adapted in sorting problems. A well known approach in MCDA is based on preference disaggregation which has already been used in ranking problems, but it is also applicable in sorting problems. The UTADIS (UTilities Additives DIScriminantes) method, a variant of the UTA method, based on the preference disaggregation approach estimates a set of additive utility functions and utility profiles using linear programming techniques in order to minimize the misclassification error between the predefined classes in sorting problems. This paper presents the application of the UTADIS method in two real world classification problems concerning the field of financial distress. The applications are derived by the studies of Slowinski and Zopounidis (1995), and Dimitras et al. (1999). The obtained results depict the superiority of the UTADIS method over discriminant analysis, and they are also comparable with the results derived by other multicriteria methods. Citation Copyright 1999 by Kluwer Academic Publishers.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

Publisher Info
Article provided by Springer in its journal Computational Economics.

Volume (Year): 14 (1999)
Issue (Month): 3 (December)
Pages: 197-218
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:kap:compec:v:14:y:1999:i:3:p:197-218

Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100248

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Other versions of this item:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

Constantin Zopounidis, Michael Doumpos, Fotios Pasiouras, 2007. "Multicriteria Framework for the Prediction of Corporate Failure in the UK," Frontiers in Finance and Economics, Lille Graduate School of Management, vol. 4(1), pages 65-90, June. [Downloadable!]
Ch. Spathis & M. Doumpos & C. Zopounidis, 2002. "Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques," European Accounting Review, Taylor and Francis Journals, vol. 11(3), pages 509-535, September. [Downloadable!] (restricted)
Michael Doumpos & Fotios Pasiouras, 2005. "Developing and Testing Models for Replicating Credit Ratings: A Multicriteria Approach," Computational Economics, Springer, vol. 25(4), pages 327-341, June. [Downloadable!] (restricted)

Statistics

Access and download statistics

Did you know? There is a FAQ (frequently asked questions).

This page was last updated on 2009-12-10.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.