• español
    • English
  • English 
    • español
    • English
  • Login
View Item 
  •   RIO Home
  • INVESTIGACIÓN
  • Departamento de Organización de Empresas y Marketing
  • DOEM - Artículos de revistas
  • View Item
  •   RIO Home
  • INVESTIGACIÓN
  • Departamento de Organización de Empresas y Marketing
  • DOEM - Artículos de revistas
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A modified DEA model to estimate the importance of objectives with an application to agricultural economics

View/Open
PAPER (778.9Kb)
URI
http://hdl.handle.net/10433/2023
DOI
https://dx.doi.org/10.1016/j.omega.2009.10.002
Export
RefworksMendeleyEndNote
Share
Statistics
View Usage Statistics
Metadata
Show full item record
Authorship
André, Francisco Javier; Herrero, InésAutoridad UPO Orcid Dialnet Scopus ResearcherID; Riesgo, Laura Autoridad UPO Orcid Dialnet ResearcherID
Palabras clave
Multicriteria
Goal Programming
DEA
Data envelopment analysis
Agriculture
Pay-off matrix
Publication date
2010
Abstract
This paper demonstrates a connection between Data Envelopment Analysis (DEA) and a non-interactive elicitation method to estimate the weights of objectives for decision-makers in a multiple-attribute approach. This connection gives rise to a modified DEA model that allows us to estimate not only efficiency measures but also preference weights by radially projecting each unit onto a linear combination of the elements of the payoff matrix (which is obtained by standard multicriteria methods). For users of Multiple Attribute Decision Analysis the basic contribution of this paper is a new interpretation in terms of efficiency of the non-interactive methodology employed to estimate weights in a multicriteria approach. We also propose a modified procedure to calculate an efficient payoff matrix and a procedure to estimate weights through a radial projection rather than a distance minimisation. For DEA users, we provide a modified DEA procedure to calculate preference weights and efficien ...
This paper demonstrates a connection between Data Envelopment Analysis (DEA) and a non-interactive elicitation method to estimate the weights of objectives for decision-makers in a multiple-attribute approach. This connection gives rise to a modified DEA model that allows us to estimate not only efficiency measures but also preference weights by radially projecting each unit onto a linear combination of the elements of the payoff matrix (which is obtained by standard multicriteria methods). For users of Multiple Attribute Decision Analysis the basic contribution of this paper is a new interpretation in terms of efficiency of the non-interactive methodology employed to estimate weights in a multicriteria approach. We also propose a modified procedure to calculate an efficient payoff matrix and a procedure to estimate weights through a radial projection rather than a distance minimisation. For DEA users, we provide a modified DEA procedure to calculate preference weights and efficiency measures that does not depend on any observations in the dataset. This methodology has been applied to an agricultural case study in Spain.
Collections
  • DOEM - Artículos de revistas [10]

BIBLIOTECA CRAI  ©  2015 Universidad Pablo de Olavide
Contact Us | Legal warning
 

 

Browse

All of RIOCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

Of interest

HelpFaqDeposit documentsPoliciesCopyrightRegulation

BIBLIOTECA CRAI  ©  2015 Universidad Pablo de Olavide
Contact Us | Legal warning