title: Fuzzy organ allocation system for cadaveric kidney transplantation.
abstract: BACKGROUND
  The recipient selection decision for a cadaveric donor kidney is complex and based on multiple criteria, not only medical but also ethical and political criteria.
  
  
  METHODS
  In this study, we develop the Fuzzy Organ Allocation System (FORAS) to determine who among potential recipients receives a cadaveric kidney when it becomes available. FORAS balances various kidney allocation objectives and deals with the ambiguity and fuzziness in the allocation process.
  
  
  RESULTS
  We used simulation to investigate how well FORAS represents the thinking of a transplant physician with regard to kidney allocation. We also compared FORAS with the United Network for Organ Sharing (UNOS) scoring system and the Turkish National Coordination for Organ Transplant (TONKS) algorithm used in Turkey. We found that FORAS well represents expert thinking in kidney allocation.
  
  
  CONCLUSIONS
  A simulated kidney allocation experiment based on real patient and donor data showed that FORAS is more useful than other kidney allocation systems because its results more closely reflect the thinking of experienced transplant physicians.
authors.affiliation: Department of Industrial Engineering, Sakarya University, Esentepe Campus, Adapazari, Sakarya, Turkey. gun@sakarya.edu.tr
authors.forename: Emin
authors.initials: E
authors.lastname: Gundogar
authors.forename: Fatih M
authors.initials: FM
authors.lastname: Duran
authors.forename: Yavuz B
authors.initials: YB
authors.lastname: Canbolat
authors.forename: Aydin
authors.initials: A
authors.lastname: Turkmen
mesh_terms: D000465:Algorithms; D002102:Cadaver; D017143:Fuzzy Logic; D006801:Humans; D016030:Kidney Transplantation / Q000706:statistics & numerical data*; D018579:Patient Selection; D040841:Resource Allocation; D014019:Tissue Donors; D009927:Tissue and Organ Procurement / Q000379:methods*