Research Information System
ICOMAAs (International Conference Series on Mathematical Advances and Applications), İstanbul, Turkey, 11 - 14 May 2022, vol.5, no.1, pp.1-6, (Full Text)
This
presentation offers the group decision-making problem related to the hip
prosthesis material selection in an interval-valued Fermatean fuzzy
environment. For hip prosthesis material selection problems, the advantage of
interval-valued Fermatean fuzzy sets is that they can reasonably express the
evaluation information given by decision-makers through both qualitative and
quantitative aspects. However, if the dimension and nonlinear relationship of
the decision data keep growing, the traditional decision‐making methods will
fail. For nonlinear features, we construct the interval‐valued Frmatean fuzzy
language kernel principal component analysis model to reduce the
dimensionality. The proposed method will be used in material selection in
distinct implementations, exclusively in biomedical applications where the
prosthesis materials should have similar characteristics to human tissues.
Since biomedical materials are used in various parts of the human body for many
different purposes, in this study, material selection will be made using the
method presented for the femoral component of the hip joint prosthesis for
orthopedists and practitioners who will choose biomaterials.