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A Jaccard-based similarity measure for soft sets

In this paper, we propose a novel similarity measure for soft sets which is based on Jaccard similarity coefficient. The proposed similarity measure takes into consideration two component i.e. similarity due to the compared parameter set, and similarity between approximate value sets of the overlapping parameters. The efficiency of the proposed measure is compared with existing soft set similarity measures through numerical examples. An application of the new similarity measure in solving a financial diagnostic problem is also illustrated in the paper.