Evaluating the importance of the weight factors in DEA optimisation

Izzat Alsmadi, Hassan Najadat and Ibrahim Al-Oqily

International Journal of Data Science, 2015, vol. 1, issue 2, 172-188

Abstract: In data envelopment analysis (DEA) efficiency of business units are evaluated based on the general assessment of unit outputs divided by unit inputs. Users can specify those inputs including: costs of equipment, overhead, salaries, etc. and output can be directly related to revenue or any other non-monetary output such as performance. To utilise DEA approach effectively, a decision support tool is also developed to allow decision-making unit (DMU) decision-makers to change input and outputs attributes on the fly and see the change impact on the DMU efficiency. This helps those users understand the value of the DEA analysis and see the change impact resulting from its measurements of DMU efficiency in this dataset.

Keywords: DEA optimisation; data envelopment analysis; relative performance; knowledge management; decision support systems; DSS; HIS; health information systems; weight factors; decision making units; DMUs; DMU efficiency. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=72410 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdsci:v:1:y:2015:i:2:p:172-188

Access Statistics for this article

More articles in International Journal of Data Science from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().