

Author: Pakkar Mohammad Sadegh
Publisher: MDPI
E-ISSN: 2079-8954|4|1|6-6
ISSN: 2079-8954
Source: Systems, Vol.4, Iss.1, 2016-01, pp. : 6-6
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Abstract
This research proposes a hierarchical aggregation approach using Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP) for indicators. The core logic of the proposed approach is to reflect the hierarchical structures of indicators and their relative priorities in constructing composite indicators (CIs), simultaneously. Under hierarchical structures, the indicators of similar characteristics can be grouped into sub-categories and further into categories. According to this approach, we define a domain of composite losses,
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