• Using interactive multiobjecti...

Treffer: Using interactive multiobjective methods to solve DEA problems with value judgements

Title:
Using interactive multiobjective methods to solve DEA problems with value judgements
Authors:
WONG, Brandon Y. H, LUQUE, Mariano, YANG, Jian-Bo
Source:
Computers & operations research. 36(2):623-636
Publisher Information:
Kidlington: Elsevier, 2009.
Publication Year:
2009
Physical Description:
print, 52 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Probabilités et statistiques, Probability and statistics, Statistiques, Statistics, Inférence non paramétrique, Nonparametric inference, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Programmation mathématique, Mathematical programming, Théorie de la décision. Théorie de l'utilité, Decision theory. Utility theory, Modèles d'entreprises, Firm modelling, Allocation ressource, Resource allocation, Asignación recurso, Analyse enveloppement donnée, Data envelopment analysis, Análisis envolvimiento datos, Banque détail, Retail bank, Banco menudeo, Estimation non paramétrique, Non parametric estimation, Estimación no paramétrica, Evaluation performance, Performance evaluation, Evaluación prestación, Modélisation, Modeling, Modelización, Outil logiciel, Software tool, Herramienta software, Prise de décision, Decision making, Toma decision, Programmation interactive, Interactive programming, Programmation linéaire, Linear programming, Programación lineal, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Préférence, Preference, Preferencia, Recommandation, Recommendation, Recomendación, Interactive multiobjective programming, Performance measurement
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Lee Kong Chian School of Business, Singapore Management University, 50 Stamford Road, Singapore 178899, Singapore
Manchester Business School, The University of Manchester, Manchester M1S 6PB, United Kingdom
Department of Applied Economics (Mathematics), University of Malaga, Ejido 6, 29071 Malaga, Spain
ISSN:
0305-0548
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=20774985
Rights:
Copyright 2009 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics

Operational research. Management
Accession Number:
edscal.20774985
Database:
PASCAL Archive

Weitere Informationen

Data envelopment analysis (DEA) is a performance measurement tool that was initially developed without consideration of the decision maker (DM)'s preference structures. Ever since, there has been a wide literature incorporating DEA with value judgements such as the goal and target setting models. However, most of these models require prior judgements on target or weight setting. This paper will establish an equivalence model between DEA and multiple objective linear programming (MOLP) and show how a DEA problem can be solved interactively without any prior judgements by transforming it into an MOLP formulation. Various interactive multiobjective models would be used to solve DEA problems with the aid of PROMOIN, an interactive multiobjective programming software tool. The DM can then search along the efficient frontier to locate the most preferred solution where resource allocation and target levels based on the DM's value judgements can be set. An application on the efficiency analysis of retail banks in the UK is examined. Comparisons of the results among the interactive MOLP methods are investigated and recommendations on which method may best fit the data set and the DM's preferences will be made.