Evaluation of motorized wheelchairs using an integrated ARAS-TOPSIS and CRITIC approach

This research paper proposes an innovative mathematical approach for evaluating motorized wheelchairs by integrating Additive Ratio Assessment (ARAS) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, along with the CRITIC (Criteria Importance through Intercriteria Correlation) weighting approach. By taking into account several factors at once, the integration of various approaches seeks to improve the evaluation process's accuracy and dependability. In order to handle the situation, the modelled framework takes into account 14 possible wheelchairs and 7 factors. The CRITIC weighting approach evaluates the impact of the criteria, while the TOPSIS and ARAS methodologies separately calculate the performance rating to produce an ordering of the chosen wheelchairs. Wheelchairs are evaluated using an array of factors, including recommendations from experts as well as online B2B market information. A Spearman’s correlation coefficient of 0.9696 confirms strong consistency between ARAS and TOPSIS based rankings The MW-12 variant stands out as the best option. The sensitivity evaluation was performed to test robustness of the proposed method. Practically, this integrated approach equips manufacturers with datadriven product development insights, aids healthcare providers in transparent procurement, and empowers end users and caregivers to select wheelchairs that best meet individual mobility needs.