A Multi-Criteria Intuitionistic Fuzzy Group Decision Making Method for Supplier Selection with VIKOR Method

Razieh Roostaee, Mohammad Izadikhah, Farhad Hosseinzadeh Lotfi and Mohsen Rostamy-Malkhalifeh
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Razieh Roostaee: Science and Research Branch, Islamic Azad University, Tehran-Branch, Tehran, Iran
Mohammad Izadikhah: Islamic Azad University, Arak-Branch, Arak, Iran
Farhad Hosseinzadeh Lotfi: Science and Research Branch, Islamic Azad University, Tehran-Branch, Tehran, Iran
Mohsen Rostamy-Malkhalifeh: Science and Research Branch, Islamic Azad University, Tehran-Branch, Tehran, Iran

International Journal of Fuzzy System Applications (IJFSA), 2012, vol. 2, issue 1, 1-17

Abstract: Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain, and is typically a multi-criteria group decision problem. In many practical situations, there usually exists incomplete and uncertain information, and the decision makers cannot easily express their judgments on the candidates with exact and crisp values. Therefore, in this paper an extended VIKOR method for group decision making with intuitionistic fuzzy numbers is proposed to solve the supplier selection problem under incomplete and uncertain information environment. In other researches in this area, the weights of each decision makers and in many of them the weights of criteria are pre-determined, but these weights have been calculated in this paper by using the decision matrix of each decision maker. Also, normalized Hamming distance is proposed to calculate the distance between intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to clarify the main results developed in this paper.

Date: 2012
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