3 research outputs found
A new hybrid decision making system for supplier selection
The objective of this paper is to develop a hybrid decision making system using Data
Envelopment Analysis (DEA) and linguistic fuzzy models for selecting the best supplier in
the presence of multiple decision makers. In this hybrid system, first the weights of
selected criteria are obtained from each of the decision makers as linguistic fuzzy
numbers within the framework of group decision making. Then, to select the best supplier,
absolute weight restriction (AWR) model is incorporated into the DEA model. A real case
study demonstrates the application of the model