TY  - JOUR
AB  - Purpose This paper aims to propose an integration of the analytic hierarchy process (AHP) and data envelopment analysis (DEA) methods in a multiattribute grey relational analysis (GRA) methodology in which the attribute weights are completely unknown and the attribute values take the form of fuzzy numbers.Design/methodology/approach This research has been organized to proceed along the following steps: computing the grey relational coefficients for alternatives with respect to each attribute using a fuzzy GRA methodology. Grey relational coefficients provide the required (output) data for additive DEA models; computing the priority weights of attributes using the AHP method to impose weight bounds on attribute weights in additive DEA models; computing grey relational grades using a pair of additive DEA models to assess the performance of each alternative from the optimistic and pessimistic perspectives; and combining the optimistic and pessimistic grey relational grades using a compromise grade to assess the overall performance of each alternative.Findings The proposed approach provides a more reasonable and encompassing measure of performance, based on which the overall ranking position of alternatives is obtained. An illustrated example of a nuclear waste dump site selection is used to highlight the usefulness of the proposed approach.Originality/value This research is a step forward to overcome the current shortcomings in the weighting schemes of attributes in a fuzzy multiattribute GRA methodology.
VL  - 9
IS  - 1
SN  - 1851-6599
DO  - 10.1108/JCC-08-2016-0005
UR  - https://doi.org/10.1108/JCC-08-2016-0005
AU  - Pakkar Mohammad Sadegh
PY  - 2016
Y1  - 2016/01/01
TI  - An integrated approach to grey relational analysis, analytic hierarchy process and data envelopment analysis
T2  - Journal of Centrum Cathedra
PB  - Emerald Group Publishing Limited
SP  - 71
EP  - 86
Y2  - 2024/04/25
ER  -