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Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a4c90776885443aad0f257bf11b335e

Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

About this item

Full title

Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

Publisher

Basel: MDPI AG

Journal title

Machine learning and knowledge extraction, 2022-09, Vol.4 (3), p.688-699

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The purpose of this study is to provide an efficient method for the selection of input–output indicators in the data envelopment analysis (DEA) approach, in order to improve the discriminatory power of the DEA method in the evaluation process and performance analysis of homogeneous decision-making units (DMUs) in the presence of negative values and...

Alternative Titles

Full title

Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2a4c90776885443aad0f257bf11b335e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a4c90776885443aad0f257bf11b335e

Other Identifiers

ISSN

2504-4990

E-ISSN

2504-4990

DOI

10.3390/make4030032

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