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Green supplier selection based on IFS and GRA

Ozkan Bali (Department of Industrial and System Engineering, Turkish Military Academy, Ankara, Turkey)
Erkan Kose (Defense Sciences Institute, Turkish Military Academy, Ankara, Turkey)
Serkan Gumus (Department of Basic Sciences, Turkish Military Academy, Ankara, Turkey)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 23 August 2013




Green supply chain management (GSCM) has become an important issue with increasing awareness of environmental protection. A firm's environmental approach is not only relevant to its inner efforts, but its suppliers' environmental performance is also important. The aim of this study is to propose an integrated multi‐criteria decision‐making (MCDM) approach based on intuitionistic fuzzy set (IFS) and grey relational analysis (GRA) for green supplier selection.


Green supplier selection is a MCDM process that contains different kinds of uncertainties. Because of the vagueness and imprecision of decision makers' evaluations and subjectivity of the criteria, IFS and GRA are exploited to handle these uncertainties.


A numerical example is presented for the proposed approach. The analyses of the results show that fuzzy set theory and grey theory can be used jointly for green supplier selection problems in uncertain environments.


There are different kinds of uncertainties in the supplier selection process. The novelty of this study is to use proper uncertainty methods in different steps instead of denoting the whole selection process by the same uncertainty theory. Supplier selection problems occupy wide space in operations research literature. Different criteria are used in different papers. In this study, detailed literature review has been carried out and some criteria among frequently confronted ones proposed for green supplier selection.



Bali, O., Kose, E. and Gumus, S. (2013), "Green supplier selection based on IFS and GRA", Grey Systems: Theory and Application, Vol. 3 No. 2, pp. 158-176.



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Copyright © 2013, Emerald Group Publishing Limited

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