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A decision support system for coating selection based on fuzzy logic and multi-criteria decision making

机译:基于模糊逻辑和多准则决策的涂料选择决策支持系统

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摘要

Wear and corrosion are the most important factors that the surface of the engineering parts must confront. The need for protection and improvement of the mechanical characteristics of the surface of engineering parts can be to some extent satisfied by coatings. Coatings are considered as an excellent solution when resistance to corrosion, oxidation or low friction is demanded, but due the complexity of selecting the appropriate one, engineers often avoid them. The need for simultaneous consideration of qualitative and quantitative properties, render the use of classic material selection theories inadequate. An expert system for coating selection is presented in this paper, which can handle both qualitative and quantitative variables. The mathematical model used combines the multi-criteria decision making theories (MCDM) together with the fuzzy sets theory. The "Max-Min set" method is applied to calculate the ordering value of the alternatives while the TOPSIS method is used to rank them. A numerical example is provided to illustrate the method. Finally, the process presented can be easily computerized, to create the relative software.
机译:磨损和腐蚀是工程零件表面必须面对的最重要因素。涂层可以在某种程度上满足保护和改善工程零件表面机械特性的需要。当需要耐腐蚀,抗氧化或低摩擦性时,涂料被认为是一种极好的解决方案,但是由于选择合适涂料的复杂性,工程师经常避免使用它们。同时考虑定性和定量性质的需求使得经典材料选择理论的使用不足。本文提出了一种涂料选择的专家系统,该系统可以处理定性和定量变量。所使用的数学模型将多准则决策理论(MCDM)与模糊集理论结合在一起。 “最大-最小集”方法用于计算替代方案的排序值,而TOPSIS方法用于对替代方案进行排名。提供了一个数值示例来说明该方法。最后,提出的过程可以很容易地计算机化,以创建相关的软件。

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