Abstract
Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.
Highlights
With the development of technology, day by day, advanced and functional materials are being developed by researchers [1]
The results showed that Western Digital was the best brand out of the other four, as the top three models were from this brand in both weightage criteria [40]
The final rank index achieved with degree of membership (DoM), with standard deviation method (SDM), entropy weights technique (EWT) and Fuzzy (Tables A1, A3 and A5)
Summary
With the development of technology, day by day, advanced and functional materials are being developed by researchers [1]. The optimality criteria are applied based upon the weighted product method (WPM), as shown in Equation (13). The positive–negative-distance-based normalization is utilized in the EDAS is) shown in Equation forfor beneficial ij ) nij method. Method to select optimal total knee replacement material using the final ranks of alternatives based individual results from different. Achieved ordered order relative or achieved is descending ordered into descending for nking of alternatives This is the method to select optimal total knee replacement material using the final ranking of alternatives. Ofranking alternatives based individual results from different methods the of theranks ranking ofranks alternatives This on isof the method to select optimal totalMCDM knee replacement material[46]. Ranks of alternatives based individual results from different methods th ranking ofranking alternatives
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