Multi-attribute decision-making (MADM) is one of the most important parts in decision-making theory, and related research is becoming more and more popular over the past few years. Investigating that the information could be qualitative and quantitative, and the different measurement units cause difficulties in some MADM problems, the additive ratio assessment system (ARAS) method was proposed. The method tries to solve MADM problems through a simple way efficiently, and at the same time eliminates the influence of different measurement units. Till now, the method has received extensive attention and has been extended to different information environments and application fields. To know about the development of the method and improve the method efficiently, this paper reviews the studies on the ARAS method from the perspectives of basic information (including the bibliometrics analyses and the outline of ARAS method), the development on theory (including the development on MADM mechanism, different information environments, and combination with different methods), the development on the application and the future challenge. From the overview, the basic situations and the development of the ARAS method are presented clearly, and the analyses of the challenges can also provide useful and sufficient instructions for the future application and improvement of the method.

中文翻译：

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ARAS 方法概述：理论发展、应用扩展和未来挑战

多属性决策（MADM）是决策理论中最重要的部分之一，相关研究在过去几年越来越受欢迎。针对信息可以是定性和定量的，并且不同的测量单位在一些MADM问题中造成困难，提出了加性比率评估系统（ARAS）方法。该方法试图通过一种简单有效的方法来解决MADM问题，同时消除了不同测量单位的影响。迄今为止，该方法已受到广泛关注，并已扩展到不同的信息环境和应用领域。了解方法的发展并有效地改进方法，本文从基础信息（包括文献计量学分析和ARAS方法概述）、理论发展（包括MADM机制的发展、不同的信息环境、与不同方法的结合）等方面对ARAS方法的研究进行综述。 ，应用上的发展和未来的挑战。从概述中，清晰地呈现了ARAS方法的基本情况和发展，对挑战的分析也可以为该方法的未来应用和改进提供有用和充分的指导。应用的发展和未来的挑战。从概述中，清晰地呈现了ARAS方法的基本情况和发展，对挑战的分析也可以为该方法的未来应用和改进提供有用和充分的指导。应用的发展和未来的挑战。从概述中，清晰地呈现了ARAS方法的基本情况和发展，对挑战的分析也可以为该方法的未来应用和改进提供有用和充分的指导。