The procurement demonstration process for large-scale medical equipment is a time-intensive and laborious system project,necessitating more effective methods to enhance efficiency.This study introduces a fuzzy decision-making expert system to optimize the procurement process of medical equipment for large hospitals,thereby elevating procurement efficiency and lowering costs.Firstly,an expert database is established using a natural language fuzzy preference scoring method tailored to the characteristics of the hospital's experts.Secondly,weights are assigned to expert decisions,and both subjective and objective in-dices describing equipment characteristics are developed.Lastly,a discriminant function is constructed for decision-making.An application analysis of a particular procurement process yielded a series of rational outcomes based on the overall design,data configuration,and discriminant function.The decisions proposed by the scheme and validated through on-site demonstration and comprehensive assessment,are deemed appropriate.This method has proven to some degree its potential to enhance the efficiency of medical equipment procurement and reduce costs,warranting further research.
维普
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