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首页> 外文期刊>International Journal of Services and Operations Management >Multi-criteria decision-making for automobile purchase using an integrated analytical quality fuzzy (AQF) technique
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Multi-criteria decision-making for automobile purchase using an integrated analytical quality fuzzy (AQF) technique

机译：使用综合分析质量模糊（AQF）技术进行汽车购买的多标准决策

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摘要

In this paper we propose an integrated model from the most important and usable multi-criteria decision-making (MCDM) techniques, means analytic hierarchy process (AHP) and quality function deployment (QFD)-fuzzy technique for preference, in order to examine the improvement fields of Indian automobile industry. A new approach, AQF method, has been suggested to combine the results of three techniques to find the final ranking. Besides, we propose a developing QFD-fuzzy model as a basis for comparing the reliability of results of the MCDM techniques, which depicts that AQF is more reliable than other MCDM techniques. Our results have certified that technology, economical aspects, style, comforts, safety, tools availability, convenience, social aspects, aesthetics view, and manufacturers are the customers' most important criteria for automobile selection. After comparing the internal and external products, and ranking them based on the criteria and sub-criteria, the necessity to improve internal automobiles on various fields has been prioritised.
机译：在本文中，我们提出了一种基于最重要和可用的多准则决策（MCDM）技术的集成模型，该方法采用层次分析法（AHP）和质量功能部署（QFD）-模糊技术作为偏好，以便研究印度汽车工业的改进领域。已提出一种新方法AQF方法，将三种技术的结果结合起来以找到最终排名。此外，我们提出了一种发展中的QFD模糊模型作为比较MCDM技术结果可靠性的基础，这表明AQF比其他MCDM技术更可靠。我们的结果证明，技术，经济方面，样式，舒适性，安全性，工具可用性，便利性，社会方面，美学观点和制造商是客户选择汽车的最重要标准。在比较内部和外部产品并根据标准和子标准对它们进行排名之后，优先考虑了在各个领域改进内部汽车的必要性。

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