An overview of ARAS method: Theory development, application extension, and future challenge

Abstract

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.

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

“…In other words, the utility function value in the ARAS method is equivalent to the relative effect of the values and weights of the alternatives. This method allows complex problems to be simplified and the most appropriate alternatives to be ranked with their utility ratios, without using different calculation tools [ 73 ]. To simplify, by determining the utility function value, the most appropriate alternatives can be ranked [ 69 ].…”

Novel Methods in Multiple Criteria Decision-Making Process (MCRAT and RAPS)—Application in the Mining Industry

“…In this paper, we present a short assessment of some of the methods used today (Table 1). The assessment is compiled from the authors in [19][20][21][22][23] and amended by selected methods TAOV [24] ARAS [25], and [26] and GRA [15,27,28].…”

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

“…Inspired by interval type-2 fuzzy set, Dorfeshan et al ( 2021 ) introduced an improved ARAS technique for critical path selection of engineering projects. Liu and Xu ( 2021 ) presented an overview of ARAS technique from the perspectives of fundamental information, development on the theory and application, and the future challenges. In conclusion, there is no study regarding the development of ARAS method under q-ROFS context.…”

“…Thus, it is an important to estimate the criteria weights in actual decision-making applications. Several generalizations of Additive Ratio Assessment (ARAS) approach has been presented in the literature (Dahooie et al 2018 ; Rostamzadeh et al 2020 ; Liu and Xu 2021 ; Karagöz et al 2021 ; Gül, 2021 ; Dorfeshan et al 2021 ) but the previously developed ARAS models have restrictions in managing the q-ROF uncertain information. Therefore, the formerly proposed ARAS approaches cannot be directly utilized for q-ROFSs.…”