Multicriteria Decision Aid Methods for the Prediction of Business Failure

by Constantin Zopounidis, Dimitra Paraschou

Overview

This book provides a new point of view on the subject of business failure prediction, through the application of multicriteria analysis methods. The aim of the book is to provide a review of the research in the area and to explore the adequacy of these methods to one of the most complex problems in the area of financial management. In addition, the book explores the applications of the methods so that it can become a very useful tool for researchers and practitioners. The analysis of the modeling and the results in these applications provides the background for further employment of the methods.

Product Details

ISBN-13:	9781441947871
Publisher:	Springer US
Publication date:	12/07/2010
Series:	Applied Optimization , #12
Edition description:	Softcover reprint of hardcover 1st ed. 1998
Pages:	174
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

I. Business Failure Research: Some Statistics, Methods, Models and Variables.- II. Multicriteria Decision Aid Methodology.- III. ELECTRE TRI Method and Business Failure Prediction.- IV. Rough Sets and Business Failure Prediction.- V. Preference Disaggregation Method and Business Failure Prediction.- Conclusions.- References.

Editorial Reviews

Provides a new point of view on business failure prediction through the application of multicriteria decision aid methods. Reviews research in the area, explores the adequacy of these methods to business failure prediction, and details applications of methods. After a description of the business failure problem and a review of other methods of prediction, chapters cover multicriteria analysis, the ELECTRE TRI method, the Rough Sets method, and the UTA method. A conclusion looks a new paths in research. No index. Annotation c. by Book News, Inc., Portland, Or.

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