document: The development and evaluation of a fuzzy logic expert system for renal transplantation assignment : Is this a useful tool ? Allocating donor kidneys to patients is a complex , multicriteria decision-making problem which involves not only medical , but also ethical and political issues . In this paper , a fuzzy logic expert system approach was proposed as an innovative way to deal with the vagueness and complexity faced by medical doctors in kidney allocation decision making . A pilot fuzzy logic expert system for kidney allocation was developed and evaluated in comparison with two existing allocation algorithms : a priority sorting system used by multiple organ retrieval and exchange -LRB- MORE -RRB- in Canada and a point scoring systems used by united network for organ sharing -LRB- UNOS -RRB- in US . Our simulated experiment based on real data indicated that the fuzzy logic system can represent the expert 's thinking well in handling complex tradeoffs , and overall , the fuzzy logic derived recommendations were more acceptable to the expert than those from the MORE and UNOS algorithms
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