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This paper is a continuation of our previous work on Pearson's coefficient r and we introduce the concept of the Spearman correlation coefficient between Atanassov's intuitionistic fuzzy sets (A-IFSs, for short) to measure the degree of association between A-IFSs when the assumption that the data distributions are normal is not valid or when data are in the form of ranks.
We propose a new solution to a ranking oriented multi-criteria decision making problem for the alternatives expressed via Atanassov's intuitionistic fuzzy sets (A-IFSs, for short). We show that the new solution better fulfills our expectations than methods proposed in the literature which fail in some situations.
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