An Enhanced Interval Rough Numbers-Based Outranking Technique for Evaluation of Technology for Sustainable Mining

This study pioneers an innovative decision-making framework, integrating interval rough numbers with the elimination and choice translating reality method, enhanced by the level-based weight assessment approach, specifically designed to assess sustainable mining technologies. The proposed model overcomes the limitations of traditional multi-criteria decision-making methods by effectively addressing uncertainty and imprecision through interval rough numbers. In contrast to the conventional versions of outranking methods, which proceed upon the principles of concordance and discordance sets, the proposed approach has the additional potential tometiculously handle the pseudo criteria to facilitate the proper examination of the outranking relations. By closely evaluating each criterion’s explicit behavior in reference to the veto, preference, and indifference threshold values, the suggested technique has the advantage of being able to infer preferences in terms of strong and weak preference relations. The level-based weight assessment technique ensures a systematic and balanced determination of criteria weights, reflecting their relative importance. A comprehensive case study on sustainable mining technology evaluation demonstrates the efficacy and robustness of our approach, yielding more preciseand consistent decision outcomes. A comparison study with existing techniques is carried out to elucidate the validity, rationality, superiority, and effectiveness of the results.

کلیدواژه ها:

Interval rough number ، Outranking relation ، Concordance index ، Discordance index ، Threshold values