Paper Info
Title
Entropy, Efficiency And The Productivity Index Numbers
Abstract
Data envelopment analysis (DEA) provides a method for determining the efficiency levels of a set of decision-making units, and this efficiency distribution has several stochastic aspects due to the random components in inputs and output. Two approaches are developed here to analyse the efficiency distribution. One is the index number approach and the other the entropy criterion of information theory. Their link to the DEA approach is illustrated by several examples. All the illustrative applications emphasize the practical usefulness of the two approaches: the index number and the entropy.
Year
DOI
Venue
1996
10.1080/00207729608929326
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Field
DocType
Volume
Information theory,Mathematical optimization,Seismic analysis,Generalized entropy index,Linear programming,Data envelopment analysis,Mathematics
Journal
27
Issue
ISSN
Citations 
12
0020-7721
0
PageRank 
References 
Authors
0.34
1
1
Name
Order
Citations
PageRank
Jati K. Sengupta17260.40