Ranking of Intuitionistic Fuzzy Numbers by Using Scaling Method
Abstract
Ranking intuitionistic fuzzy numbers (IFN) is a challenging task. Several methods have been presented for ranking IFNs. Also ranking for three IFN is rare. In this work, a new multidimensional scaling (MDS) method for ranking triangular intuitionistic fuzzy number (TIFN) is proposed. This method is easy to implement, visualized and embedded the (TIFN). Also, gives a possibility to configure points in different ways. Configuration points can be extracted in a two-dimensional space since each TIFN is represented as a row in a matrix. Since these points are not uniquely established, we provide a technique for reconfiguring it in order to compare it with various methods. This method is novel in sense of the idea. Lastly, the method is illustrated through numerical examples.
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