Using DEA and AHP for Multiplicative Aggregation of Hierarchical Indicators

Mohammad Sadegh Pakkar

doi:10.4236/ajor.2015.55026

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American Journal of Operations Research > Vol.5 No.5, September 2015

Using DEA and AHP for Multiplicative Aggregation of Hierarchical Indicators ()

Mohammad Sadegh Pakkar

Faculty of Management, Laurentian University, Sudbury, Canada.

DOI: 10.4236/ajor.2015.55026 PDF HTML 2,479 Downloads 2,938 Views Citations

Abstract

The author [Pakkar, M.S. (2014) Using Data Envelopment Analysis and Analytic Hierarchy Process to Construct Composite Indicators. Journal of Applied Operational Research, 6(3), 174-187.] recently proposed a multiplicative approach using Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP) to reflect the priority weights of indicators in constructing composite indicators (CIs). Nonetheless, this approach is limited to the situations with a single level hierarchy which might not satisfy the needs of a multiple level hierarchy. Therefore, the current paper extends this approach to the situations in which the indicators of similar characteristics can be grouped into sub-categories and further linked into categories to form a three-level hierarchical structure. An illustrative example of road safety performance for a set of European countries highlights the usefulness of the proposed “extended approach”.

Keywords

Data Envelopment Analysis, Analytic Hierarchy Process, Composite Indicators, Multiplicative Aggregation, Hierarchical Structures

Share and Cite:

Pakkar, M.S (2015) Using DEA and AHP for Multiplicative Aggregation of Hierarchical Indicators. American Journal of Operations Research, 5, 327-336. doi: 10.4236/ajor.2015.55026.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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