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Multicriteria Decision Aid Methods for the Prediction of Business Failure
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Catalogue Information
Field name
Details
Dewey Class
332
Title
Multicriteria Decision Aid Methods for the Prediction of Business Failure ([EBook] /) / by Constantin Zopounidis, Augustinos I. Dimitras.
Author
Zopounidis, Constantin
Added Personal Name
Dimitras, Augustinos I.
author.
Other name(s)
SpringerLink (Online service)
Publication
Boston, MA : : Springer US : : Imprint: Springer, , 1998.
Physical Details
XXIV, 174 p. : online resource.
Series
Applied Optimization
1384-6485 ; ; 12
ISBN
9781475728859
Summary Note
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.:
Contents note
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.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-1-4757-2885-9
Links to Related Works
Subject References:
Decision making
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Finance
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Finance, general
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Management science
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Operation Research/Decision Theory
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Operations research
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Operations Research, Management Science
.
Authors:
Dimitras, Augustinos I.
.
Zopounidis, Constantin
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Corporate Authors:
SpringerLink (Online service)
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Series:
Applied Optimization
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Classification:
332
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