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Advances in Fuzzy Systems
Volume 2014 (2014), Article ID 841405, 10 pages
http://dx.doi.org/10.1155/2014/841405
Research Article

A New Fuzzy TOPSIS-TODIM Hybrid Method for Green Supplier Selection Using Fuzzy Time Function

Industrial Engineering Department, Kharazmi University, Tehran 15719-14911, Iran

Received 4 January 2014; Revised 14 February 2014; Accepted 14 February 2014; Published 17 March 2014

Academic Editor: M. Onder Efe

Copyright © 2014 Alireza Arshadi Khamseh and Mahdi Mahmoodi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Today green supply chain is considered all around the world and supplier selection has been changed regarding these green and carbon emission criteria, so green supplier selection has been a major problem in this area. In this study we use fuzzy time function to assist managers in green supplier selection under uncertainty and ambiguity. This function will consider derivation from the goal during the time and by using it, and we will be able to have the best supplier in every period after having some modification in legal limitations for green supplier selection criteria. We use a fuzzy TOPSIS to have better initial weighting in TODIM, a discrete multicriteria method based on prospect theory in uncertainty (known as TODIM in Portuguese) decision making method. The results indicated that our proposed approach can easily and effectively accommodate criteria with gains and loss functions during time and also by using this method we will have a more reasonable predict of our suppliers ranking in future and that will help us in future investment in these suppliers. Finally it has been shown in car industries in Iran.