| 摘要: |
| 为了应对血液紧缺困境，提高血液使用效益，研究了血液分配优先度评价问题；采用二进制转换方法整合医院血液紧缺程度的特性描述因素，改进传统模糊聚类分析的相关系数计算和聚类阈值选择方法，构建了血液紧缺度模糊聚类模型，并在此基础上，引入分配优先度参数评价血液分配优先度;最后，选择24家医院的红细胞需求进行数值计算，将医院聚类为6个不同血液紧缺程度的组别，计算每组的优先度参数，并对各组医院血液分配优先度作出评价。结果表明：改进模糊聚类模型并引入分配优先度参数可以有效评价血液分配优先度，为血液紧缺情况下的血液分配提供决策借鉴。 |
| 关键词: 血液分配 血液需求 血液供应链 模糊聚类 优先度评价 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Evaluation of Blood Distribution Priority Based on Fuzzy Clustering |
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XU Qing,ZHOU Yu-feng
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School of Management Science and Engineering,Chongqing Technology and Business University,Chongqing 400067,China
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| Abstract: |
| In order to deal with the plight of blood shortage and improve the efficiency of blood use, the priority evaluation of blood distribution was studied. Binary transformation method was used to integrate the characteristic description factors of hospital blood shortage degree, the correlation coefficient calculation and clustering threshold selection method of traditional fuzzy clustering analysis were improved, the fuzzy clustering model of blood shortage degree was constructed, and on this basis, the allocation priority parameter was introduced to evaluate the blood distribution priority. At last, 24 hospitals were selected to calculate the demand of red blood cells numerically, the hospitals were clustered into six groups with different blood shortage degrees, the priority parameters of each group were derived, and the priority of blood distribution in each group of hospitals was evaluated. The result shows that fuzzy clustering model was improved and the allocation priority parameter was introduced, which can effectively evaluate the priority of blood distribution and provide reference for blood distribution decision-making in the case of blood |
| Key words: blood distribution blood demand blood supply chain fuzzy clustering priority evaluation |
