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A Hybrid Triangular Fuzzy MCDM Model for Evaluating and Selecting the Optimal Industrial Robot for Manufacturing Plants Based on Fuzzy AHP and Fuzzy ARAS

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The hybrid fuzzy MCDM model improves decision-making accuracy in selecting industrial robots.
Based on expert evaluations, Robot 1 emerged as the optimal robot, while Robot 6 ranked the lowest.
The proposed approach utilizes fuzzy set theory to address uncertainties in evaluation criteria.
A case study of ten industrial robots validates the effectiveness of the hybrid model.

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This model integrates fuzzy ahp and fuzzy aras to enhance decision-making in industrial robot evaluation.

Tran et al. (2025) studied this question.

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