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A new reliability allocation method for machine tools using the intuitionistic trapezoidal fuzzy numbers and TOPSIS
The International Journal of Advanced Manufacturing Technology ( IF 3.4 ) Pub Date : 2021-06-11 , DOI: 10.1007/s00170-021-07331-9
Qiang Cheng , Chang Wang , Dongyang Sun , Hongyan Chu , Wenfen Chang

The reliability allocation of machine tools which is a multi-attribute decision-making problem has great significance in designment of machine tools. This paper integrates the intuitionistic trapezoidal fuzzy numbers and performance sorting technique based on similar ideal solutions to achieve the flexible allocation of machine tools reliability. Firstly, intuitionistic trapezoidal fuzzy numbers are employed to integrate decisions made by multiple decision-makers and fuzzy information of their preferences. Then, intuitionistic trapezoid fuzzy numbers’ expectations are treated as the weights of criteria. Finally, performance sorting technique based on similar ideal solutions is used to obtain the reliability allocation weight of every subsystem. To investigate the efficacy and simplicity of the provided approach, reliability distribution in a CNC machine tool is introduced as an example to explain its specific contents. It can be concluded that the provided method is more precise and convenient by comparing the results of this approach with those obtained by analytic hierarchy process method.



中文翻译:

基于直觉梯形模糊数和TOPSIS的机床可靠性分配新方法

机床可靠性分配是一个多属性决策问题,在机床设计中具有重要意义。本文结合直觉梯形模糊数和基于相似理想解的性能排序技术,实现机床可靠性的灵活分配。首先,利用直觉梯形模糊数整合多个决策者的决策及其偏好的模糊信息。然后,直觉梯形模糊数的期望被视为标准的权重。最后,采用基于相似理想解的性能排序技术,得到各子系统的可靠性分配权重。为了研究所提供方法的有效性和简单性,以数控机床的可靠性分布为例,说明其具体内容。通过将这种方法的结果与层次分析法的结果进行比较,可以得出结论,所提供的方法更加精确和方便。

更新日期:2021-06-11
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