Decision's problem with the help of imprecise data envelopment analysis (IDEA)

Authors:
D. V. Derpanis;E. Foundas
Affiliations:
Department of Informatics, University of Piraeus, Piraeus, Greece;Department of Informatics, University of Piraeus, Piraeus, Greece
Venue:
ICS'05 Proceedings of the 9th WSEAS International Conference on Systems
Year:
2005

Citing 2
Cited 2

Data Envelopment Analysis: Theory, Methodology and Application

Data Envelopment Analysis: Theory, Methodology and Application
Idea and Ar-Idea: Models for Dealing with Imprecise Data in Dea

Management Science

Cross evaluation using weight restrictions in unitary input DEA models: theoretical aspects and application to olympic games ranking

WSEAS TRANSACTIONS on SYSTEMS
DEA advanced models for geometric evaluation of used lathes

WSEAS TRANSACTIONS on SYSTEMS

Quantified Score

Hi-index	0.00

Visualization

Abstract

The standard data envelopment analysis (DEA) method requires that the values for all inputs and outputs be known exactly. When some inputs and outputs are unknown decision variables such as bounded data, original data, and ratio bounded data, the DEA model becomes a non-linear programming problem and is called imprecise DEA (IDEA). In this study we aim to develop further the IDEA by using a kind of punishment-penalty in the DMUs (Decision Making Units) which try on their own to weight the surges and the flows in order to elect in the major degree their efficiency. This is attempted in order to avoid the fact that the record of an efficient unit is arguable.