Abstract
In this paper, an interval version of the classical multicriteria TOPSIS method is proposed. In particular, the so-called Bag-Based TOPSIS proposed by Rebai will be considered, and suitably modified to treat with interval number, using the acceptability index suggested by Sengupta. Interval analysis can be a powerful tool to deal with complex decision problems where the values of the criteria for each alternatives can be characterized by uncertainty.
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Giove, S. (2002). Interval TOPSIS for Multicriteria Decision Making. In: Marinaro, M., Tagliaferri, R. (eds) Neural Nets. WIRN 2002. Lecture Notes in Computer Science, vol 2486. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45808-5_5
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DOI: https://doi.org/10.1007/3-540-45808-5_5
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