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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A New Positive and Negative Linguistic Variable of Interval Triangular Type-2 Fuzzy Sets for MCDM
verfasst von : Nurnadiah Zamri, Lazim Abdullah
Erschienen in: Recent Advances on Soft Computing and Data Mining
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Fuzzy linguistic variable in decision making field has received significant attention from researchers in many areas. However, the existed research is given attention only in one side rather than two sides. Therefore, the aim of this paper is to introduce a new linguistic variable which considers both sides, positive and negative sides for symmetrical interval triangular type-2 fuzzy set (T2 FS). This new linguistic variable is developed in line with the interval type-2 fuzzy TOPSIS (IT2 FTOPSIS) method. Besides, a ranking value for aggregation process is modified to capture both positive and negative aspect for triangular. Then, this new method is tested using two illustrative examples. The results show that the new method is highly beneficial in terms of applicability and offers a new dimension to problem solving technique for the type-2 fuzzy group decision-making environment.