Abstract
The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, evaluation of alternatives based on weighted attributes play an important role in the best alternative selection. Practically it is difficult to precisely measure the exact values to the relative importance of the attributes and to the impacts of the alternatives on theses attributes. Therefore, the TOPSIS method has been extended for interval-valued intuitionistic fuzzy data in this paper, to tackle this problem. In addition, supplier selection problem a multi-criteria group decision making problem involving several conflicting criteria is solved with the proposed methodology.
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Kavita, Yadav, S.P., Kumar, S. (2009). A Multi-criteria Interval-Valued Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method. In: Sakai, H., Chakraborty, M.K., Hassanien, A.E., Ślęzak, D., Zhu, W. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2009. Lecture Notes in Computer Science(), vol 5908. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10646-0_37
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DOI: https://doi.org/10.1007/978-3-642-10646-0_37
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