Material selection for femoral component of total knee replacement integrating fuzzy AHP with PROMETHEE

Due to growing number of replacement and revision surgeries, total knee replacement (TKR) has become one of the most critical biomedical applications. For multiple and conflicting criteria, appropriate material selection for femoral component of TKR becomes an important strategic decision making problem.In this paper, a simple, systematic and log- ical scientific approach is structured to evaluate appropriate material for femoral component of TKR through integrating Fuzzy Analytical Hierarchy Process (FAHP) with the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). The proposed decision-making approach takes advantage of the synergy between these two well-known multi-criteria decision making (MCDM) methods in which their strong and weak points are detected and a ranking is provided with sensitivity analysis which facilitates the final selection for the decision maker.

[1]  Marta Herva,et al.  Ranking municipal solid waste treatment alternatives based on ecological footprint and multi-criteria analysis , 2013 .

[2]  Aleksandar Djordjevic,et al.  The evaluation and improvement of process quality by using the fuzzy sets theory and genetic algorithm approach , 2015, J. Intell. Fuzzy Syst..

[3]  Ceyda Güngör Sen,et al.  Evaluation and pre-allocation of operators with multiple skills: A combined fuzzy AHP and max-min approach , 2010, Expert Syst. Appl..

[4]  Farzam Farahmand,et al.  Material tailoring of the femoral component in a total knee replacement to reduce the problem of aseptic loosening , 2013 .

[5]  Dimitris C. Lagoudas,et al.  Modeling of transformation-induced plasticity and its effect on the behavior of porous shape memory alloys. Part II: porous SMA response , 2004 .

[6]  Yoshimitsu Okazaki,et al.  Comparison of metal release from various metallic biomaterials in vitro. , 2005, Biomaterials.

[7]  Mahmoud M. Farag,et al.  Materials selection for engineering design , 1997 .

[8]  Ahmet Can Kutlu,et al.  Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..

[9]  De-Li Yang,et al.  Using a hybrid multi-criteria decision aid method for information systems outsourcing , 2007, Comput. Oper. Res..

[10]  Patrick J. Prendergast,et al.  Materials selection in the artificial hip joint using finite element stress analysis , 1989 .

[11]  M Navarro,et al.  Biomaterials in orthopaedics , 2008, Journal of The Royal Society Interface.

[12]  Laurence Turcksin,et al.  A Combined AHP-PROMETHEE Approach for Selecting the Most Appropriate Policy Scenario to Stimulate a Clean Vehicle Fleet , 2011 .

[13]  K. L. Edwards Towards an improved development process for new hip prostheses , 2008 .

[14]  A. Singh,et al.  Ti based biomaterials, the ultimate choice for orthopaedic implants – A review , 2009 .

[15]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[16]  David W. Wagner,et al.  Design-optimization and material selection for a femoral-fracture fixation-plate implant , 2010 .

[17]  J. Murry,et al.  Delphi: A Versatile Methodology for Conducting Qualitative Research , 2017 .

[18]  Abhijit Majumdar,et al.  Selection of raw materials in textile spinning industry using fuzzy multi-criteria decision making approach , 2010 .

[19]  M. Damaser,et al.  Biocompatibility of nitinol and stainless steel in the bladder: an experimental study. , 2005, The Journal of urology.

[20]  Johan Springael,et al.  PROMETHEE and AHP: The design of operational synergies in multicriteria analysis.: Strengthening PROMETHEE with ideas of AHP , 2004, Eur. J. Oper. Res..

[21]  Mao-Jiun J. Wang,et al.  Ranking fuzzy numbers with integral value , 1992 .

[22]  Akhtar Hasin,et al.  Framework for benchmarking online retailing performance using fuzzy AHP and TOPSIS method , 2012 .

[23]  A Kapanen,et al.  Effect of nickel-titanium shape memory metal alloy on bone formation. , 2001, Biomaterials.

[24]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[25]  M.S.J. Hashmi,et al.  Material selection in the design of the femoral component of cemented total hip replacement , 2002 .

[26]  Farzam Farahmand,et al.  Multi-objective design optimization of functionally graded material for the femoral component of a total knee replacement , 2014 .

[27]  M. J. Fagan,et al.  Material selection in the design of the femoral component of cemented total hip replacements , 1986 .

[28]  Zhongsheng Hua,et al.  On the extent analysis method for fuzzy AHP and its applications , 2008, Eur. J. Oper. Res..

[29]  Xianjin Yang,et al.  Effect of porous NiTi alloy on bone formation: A comparative investigation with bulk NiTi alloy for 15 weeks in vivo , 2008 .

[30]  Cheng-Ru Wu,et al.  Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP , 2008, Expert Syst. Appl..

[31]  Xiaodong Liu,et al.  An improved PROMETHEE II method based on Axiomatic Fuzzy Sets , 2014, Neural Computing and Applications.

[32]  Golam Kabir,et al.  Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh , 2014 .

[33]  Metin Celik,et al.  Multiple attribute decision-making solution to material selection problem based on modified fuzzy axiomatic design-model selection interface algorithm , 2010 .

[34]  L G Machado,et al.  Medical applications of shape memory alloys. , 2003, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.

[35]  S. K. Sadrnezhaad,et al.  Fabrication of porous NiTi-shape memory alloy objects by partially hydrided titanium powder for biomedical applications , 2009 .

[36]  Tawakol A. Enab,et al.  Material selection in the design of the tibia tray component of cemented artificial knee using finite element method , 2013 .

[37]  Selcuk Cebi,et al.  A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process , 2009 .

[38]  Ali Jahan,et al.  Material selection for femoral component of total knee replacement using comprehensive VIKOR , 2011 .

[39]  Golam Kabir,et al.  Multiple Criteria Inventory Classification Under Fuzzy Environment , 2012, Int. J. Fuzzy Syst. Appl..

[40]  C Birkinshaw,et al.  Selection of elastomeric materials for compliant-layered total hip arthroplasty , 2002, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[41]  Solomon Tesfamariam,et al.  A review of multi-criteria decision-making methods for infrastructure management , 2014 .