基于博弈论云模型的校园共享图书柜综合评价研究

Comprehensive Evaluation of Campus Shared Book Cabinet Based on Cloud Model and Game Theory

中文关键词: 校园共享图书柜  变异系数  博弈论组合赋权  云模型  综合评价

英文关键词: campus shared book cabinet  coefficient of variation  game theory combination weighting  cloud model  comprehensive evaluation

中文摘要:

      目的 针对校园共享图书柜综合评价过程中存在的模糊性和随机性问题，引入了博弈论云模型理论对校园共享图书柜进行综合评价。方法 首先，对海选的评价指标进行变异系数筛选，建立了以运营方、产品设计、用户使用不同维度的综合评价指标;其次，利用博弈论算法将改进层次分析法确定的主观赋值权重和熵权法确定的客观计算权重进行组合赋权，在此基础上引入云模型理论将定性描述转化成定量值，通过数据分析和比较实现其综合评价和排序;最后，以三个校园共享图书柜样本的综合评价为例验证了该方法的可行性，综合云指标参数及云图对比分析样本优化方向。结论 该方法能够客观真实地对产品方案进行综合评价，其在处理评价模糊和随机问题有一定的优越性，能够有效的为校园共享图书柜后期优化提供量化分析参考。

英文摘要:

      The work aims to introduce game theory and cloud model theory to comprehensively evaluate the campus shared book cabinets, so as to solve the fuzziness and randomness in comprehensive evaluation of campus shared book cabinets. Firstly, the evaluation indicators collected extensively were screened for the coefficient of variation. Comprehensive evaluation indicators with different dimensions composed of operators, product design and using were established. Secondly, the subjective assignment weight and objective calculation weight formed by the combination of improved analytic hierarchy process and entropy weight method were used for game combination weighting. On this basis, cloud model theory was introduced to transform qualitative description into quantitative value, and the comprehensive evaluation and ranking were obtained through the data analysis and comparison. Finally, the feasibility of this method was verified with the comprehensive evaluation of three campus shared library cabinet samples as an example, and the sample optimization direction was analyzed by comprehensive cloud indicator parameters and cloud map comparison. This method can objectively and truly conduct a comprehensive evaluation of the product scheme. It has certain advantages in dealing with the fuzzy and random evaluation problems, and can effectively provide a quantitative analysis reference for the later optimization of the campus shared library cabinet.