Linear Diophantine Fuzzy Fairly Averaging Operator for Suitable Biomedical Material Selection

Nowadays, there is an ever-increasing diversity of materials available, each with its own set features, capabilities, benefits, and drawbacks. There no single definitive criteria for selecting the perfect biomedical material; designers engineers must consider a vast array distinct material selection qualities. The goal this study to establish fairly operational rules aggregation operators (AOs) in linear Diophantine fuzzy context. To achieve goal, we devised innovative principles that make use notion proportional distribution provide equitable or fair aggregate numbers (LDFNs). Furthermore, multi-criteria decision-making (MCDM) approach built by combining recommended AOs evaluations from multiple decision-makers (DMs) partial weight information under paradigm. weights criterion are determined using incomplete data help programming model. enhanced technique might be used compounds variety applications, including programmes where chemicals prostheses have qualities similar those human tissues. presented femoral component hip joint prosthesis may orthopaedists practitioners who will choose bio-materials. This due fact employed many sections body various functions.