Cover Image

Classifying and Predicting Efficiencies Using Interval DEA Grid Setting

Main Author: Yiannis G. Smirlis
Format: Article
Bahasa: eng
Terbitan: , 2018
Subjects:
Data envelopment analysis
interval DEA
efficiency classification
efficiency prediction
Online Access: https://zenodo.org/record/1317188
ctrlnum 1317188
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Yiannis G. Smirlis</creator><date>2018-05-01</date><description>The classification and the prediction of efficiencies in Data Envelopment Analysis (DEA) is an important issue, especially in large scale problems or when new units frequently enter the under-assessment set. In this paper, we contribute to the subject by proposing a grid structure based on interval segmentations of the range of values for the inputs and outputs. Such intervals combined, define hyper-rectangles that partition the space of the problem. This structure, exploited by Interval DEA models and a dominance relation, acts as a DEA pre-processor, enabling the classification and prediction of efficiency scores, without applying any DEA models.</description><identifier>https://zenodo.org/record/1317188</identifier><identifier>10.5281/zenodo.1317188</identifier><identifier>oai:zenodo.org:1317188</identifier><language>eng</language><relation>doi:10.5281/zenodo.1317187</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal of Engineering, Mathematical and Physical Sciences 11.0(6)</source><subject>Data envelopment analysis</subject><subject>interval DEA</subject><subject>efficiency classification</subject><subject>efficiency prediction.</subject><title>Classifying and Predicting Efficiencies Using Interval DEA Grid Setting</title><type>Journal:Article</type><type>Journal:Article</type><recordID>1317188</recordID></dc>
language eng
format Journal:Article
Journal
author Yiannis G. Smirlis
title Classifying and Predicting Efficiencies Using Interval DEA Grid Setting
publishDate 2018
topic Data envelopment analysis
interval DEA
efficiency classification
efficiency prediction
url https://zenodo.org/record/1317188
contents The classification and the prediction of efficiencies in Data Envelopment Analysis (DEA) is an important issue, especially in large scale problems or when new units frequently enter the under-assessment set. In this paper, we contribute to the subject by proposing a grid structure based on interval segmentations of the range of values for the inputs and outputs. Such intervals combined, define hyper-rectangles that partition the space of the problem. This structure, exploited by Interval DEA models and a dominance relation, acts as a DEA pre-processor, enabling the classification and prediction of efficiency scores, without applying any DEA models.
id IOS16997.1317188
institution DEFAULT
institution_type library:public
library
library DEFAULT
collection DEFAULT
city DEFAULT
province DEFAULT
repoId IOS16997
first_indexed 2022-06-06T02:51:37Z
last_indexed 2022-06-06T02:51:37Z
recordtype dc
merged_child_boolean 1
_version_ 1739487277397049344
score 17.538404

Lihat Juga