Department of Design, National Taiwan Normal University, Taipei 106, Taiwan; Fine Art and Design College, Quanzhou Normal University, Quanzhou 362000, China.
Department of Design, National Taiwan Normal University, Taipei 106, Taiwan.
Comput Methods Programs Biomed. 2020 Dec;197:105762. doi: 10.1016/j.cmpb.2020.105762. Epub 2020 Sep 16.
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.
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.
Our results show that the degree of adaptability of each product function in the product set from PF to PFcan be evaluated. Based on the principles of sorting of values from high to low, the top five PF (n = 10) for P value is PF, PF, PF, PF and PF; The top five PF for P value is PF, PF, PF, PF and PF; The top five PF for A value is PF(0.242), PF(0.232), PF(0.225), PF(0.222) and PF(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.
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.
COVID-19 的防控工作不断影响着全球的生活。本文利用模糊逻辑对家用医疗产品进行了分析。考虑到家庭防疫的现状、经济和环境效益，提出了入口适应性防疫产品的设计方法。该设计方法仍存在一些不足，因此需要一种基于模糊逻辑编程的改进方法。
首先，识别和总结了入口常见的医疗产品类型和家用防疫产品，将其归纳为产品集。然后通过功能配置分解和匹配计算得到匹配度矩阵。其次，邀请专家对配对比较概率矩阵和语言变量进行评价，并通过梯形隶属度函数、模糊数和去模糊化方法将评价数据转换为产品功能的使用概率值（PR）。最后，通过适应性度量公式计算匹配度值（P）和产品功能（PF），得到产品功能、适应性因子和适应性（A）。
研究结果表明，可以对产品集中每个产品功能的适应性程度进行评价。根据从高到低的排序原则，对产品功能（PF）的 P 值进行排序，前五个 PF 分别为 PF、PF、PF、PF 和 PF；对产品功能（PF）的 P 值进行排序，前五个 PF 分别为 PF、PF、PF、PF 和 PF；对产品功能（PF）的 A 值进行排序，前五个 PF 分别为 PF(0.242)、PF(0.232)、PF(0.225)、PF(0.222)和 PF(0.221)。这些值可以根据上述数据排序模式进行总结和绘制可视化图表。产品功能值越高，就越能优先考虑以节省功能成本、简化或聚类的方式进行设计开发。
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入口防疫产品的开发和编程。产品功能的适应性值越高，说明它更能够简化、聚类和适应产品集的变化。
