| Summary: | The results for similarity measure between two or more information given by the expert is classified as either a strong relationship or less important relationship. Therefore, it is important to get the results for similarity measure as the best conclusion for the information relationship. In this research, the roughness-Dice similarity measure was chosen as the similarity measure method based on the motivation of Dice similarity measure for rough neutrosophic set. Additionally, a rough neutrosophic set was chosen as the uncertainty set theory which encompasses the upper and lower approximation. The definition of the roughness-Dice similarity measure is generalized by roughness approximation. Subsequently, the derivation procedure used for investment company selection involving the roughness-Dice similarity measure of a rough neutrosophic set is presented. The similarity results were compared between the mean value and roughness approximation for a rough neutrosophic set. In conclusion, if either value of the similarity measure is nearest to one, hence a strong relationship is defined between the information given or vice versa. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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