An intuitionistic fuzzy simple additive weighting (IFSAW) method for selection of vendor

Abstract

Selecting the right vendor from a large number of possible vendors is a non-trivial task, in which multiple criteria need to be examined carefully. The Multiple criteria decision making provides an effective framework for vendor comparison based on the evaluation of multiple conflict criteria. The decision maker's information on the conflicting criteria is imprecise due to lack of time or lack of data. Intuitionistic fuzzy set (IFS) is a very suitable tool to describe the imprecise decision information and deal with the uncertainty and vagueness in decision making. In this study,we propose an approach based on intuitionistic fuzzy SAW method to select an appropriate vendor. We use the simple operation of intuitionistic fuzzy arithmetic operation for calculating the aggregation score for each vendor. Finally a score function is used to rank the vendors with largest score. A numerical example illustrates our proposed approach. Copyright © 2012 by International Consortium for Electronic Business.