Applications of new q-rung orthopair fuzzy rough distance measures in pattern recognition and disease diagnosis problems

As the combined version of rough sets (RSs) and q-rung orthopair fuzzy sets (q-ROFSs), the idea of q-rung orthopair fuzzy rough sets (q-ROFRSs) is more flexible to deal with inaccurate, uncertain and incomplete data.In this manuscript, we propose various q-rung orthopair fuzzy rough distance measures for computing the distance between q-ROFRSs.Some examples are discussed to exemplify the efficacy of developed q-ROFR-distance measures over existing ones.We further demonstrate its utility in pattern recognition and crop disease diagnosis problems.We also establish the superiority of developed distance measures over existing distance measures on q-ROFRSs in view of the structured linguistic variables.