Background

The COVID-19 prevention and control constantly affects lives worldwide. In this paper, household medical products were analyzed using fuzzy logic. Considering the household anti-epidemic status, economic and environmental benefits, the adaptable design method of anti-epidemic products in the vestibule was proposed. The measure of adaptable design method still have shortcomings. Therefore, an improved method that is based on fuzzy logic programming is required.

Method

Firstly, common medical product types used in vestibules and household anti-epidemic products were identified and summarized into product sets. Then matching degree matrix was obtained by functional configuration decomposition and matching calculations. Secondly, experts were invited to evaluate the paired comparative probability matrices and linguistic variables, and the evaluation data were converted by trapezoidal membership functions, fuzzy numbers and the defuzzification method to obtain the usage probability values (PR) for product functions. Finally, the matching degree value (P) and the product function (PF) were calculated by adaptability measure formula, and product function, the adaptability factor and the adaptability (A) were obtained.

Results and Discussion

Our results show that the degree of adaptability of each product function in the product set from PF₁ to PF₁₀can be evaluated. Based on the principles of sorting of values from high to low, the top five PF (n = 10) for P value is PF₁₀, PF₅, PF₆, PF₈ and PF₁; The top five PF for P value is PF₂, PF₁, PF₃, PF₇ and PF₈; The top five PF for A value is PF₂(0.242), PF₁(0.232), PF₅(0.225), PF₈(0.222) and PF₃(0.221). These values allow us to summarize and draw visual charts according to the above data sorting mode. The higher the value of the product function, the more it can be prioritized for design development with functional cost savings, simplification or clustering.

Conclusion

This study proposes an adaptable design method based on fuzzy logic programming. The data results in this study can guide the development and programming of the vestibule anti-epidemic products. The higher adaptability value of a product function indicates that it is more capable of being simplified, clustered, and adapting to changes in the product set.

中文翻译：

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COVID-19抗疫常态化医疗产品的模糊逻辑编程和适应性设计

 背景

COVID-19 的预防和控制不断影响着全世界的生活。本文使用模糊逻辑对家用医疗产品进行了分析。综合考虑家居防疫现状、经济效益和环境效益，提出了玄关防疫用品的适应性设计方法。适应性设计方法的措施仍然存在缺陷。因此，需要一种基于模糊逻辑编程的改进方法。

 方法

首先，对门厅常用医疗产品类型和家庭防疫产品进行了识别，并归纳为产品组。然后通过功能配置分解和匹配计算得到匹配度矩阵。其次，邀请专家对成对的比较概率矩阵和语言变量进行评估，并利用梯形隶属函数、模糊数和去模糊化方法对评估数据进行转换，得到乘积函数的使用概率值（PR）。最后，通过适应性测度公式计算匹配度值（P）和乘积函数（PF），得到乘积函数、适应性因子和适应性（A）。

 结果与讨论

我们的结果表明，可以评估产品集中从 PF ₁到 PF ₁₀的每个产品函数的适应性程度。按照数值从高到低排序的原则，P值排名前五的PF（ n =10）为PF ₁₀ 、PF ₅ 、PF ₆ 、PF ₈ 、PF ₁ ； P值排名前五的PF为PF ₂ 、PF ₁ 、PF ₃ 、PF ₇ 、PF ₈ ； A 值的前五个 PF 是 PF ₂ (0.242)、PF ₁ (0.232)、PF ₅ (0.225)、PF ₈ (0.222) 和 PF ₃ (0.221)。这些值让我们可以根据上面的数据排序方式进行总结并绘制可视化图表。产品功能的价值越高，就越能优先进行设计开发，以节省功能成本、简化或集群。

 结论

本研究提出了一种基于模糊逻辑编程的适应性设计方法。本研究的数据结果可以指导门厅抗疫产品的开发和规划。产品功能的适应性值越高，表明它越有能力被简化、集群化，并适应产品集的变化。