The main aim of the article is to propose a new multiple criteria decision-making approach for selecting alternatives, the newly-developed MULTIMOOSRAL approach, which integrates advantages of the three well-known and prominent multiple-criteria decision-making methods: MOOSRA, MOORA, and MULTIMOORA. More specifically, the MULTIMOOSRAL method has been further upgraded with an approach that can be clearly seen in the well-known WASPAS and CoCoSo methods, which rely on the integration of weighted sum and weighted product approaches. In addition to the above approaches, the MULTIMOOSRAL method also integrates a logarithmic approximation approach. The expectation from the development of this method is that the integration of several approaches can provide a much more reliable selection of the most appropriate alternative, which can be very important in cases where the performance of alternatives obtained by using some other method does not differ much. Finally, the ranking of alternatives based on the dominance theory, used in the MOORA and MULTIMOORA methods, is replaced by a new original approach that should allow a much simpler final ranking of alternatives in order to reach a stronger result with five different techniques. The suitability and efficacy of the proposed MULTIMOOSRAL approach are presented through an illustrative case study of the supplier selection. PDF  XML

中文翻译：

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开发用于供应商选择的新型集成MCDM MULTIMOOSRAL方法

本文的主要目的是提出一种用于选择替代方案的新的多准则决策方法，即新开发的MULTIMOOSRAL方法，该方法融合了三种著名且著名的多准则决策方法：MOOSRA，MOORA和MULTIMOORA。更具体地说，MULTIMOOSRAL方法得到了进一步升级，其方法可以在众所周知的WASPAS和CoCoSo方法中清楚地看到，该方法依赖于加权和方法与加权乘积方法的集成。除上述方法外，MULTIMOOSRAL方法还集成了对数逼近方法。开发此方法的期望是，几种方法的集成可以为最合适的替代方法提供更加可靠的选择，在使用其他方法获得的替代产品的性能差别不大的情况下，这可能非常重要。最后，在MOORA和MULTIMOORA方法中使用的基于优势理论的替代品排名被一种新的原始方法所取代，该方法应允许对替代品进行更简单的最终排名，以便通过五种不同的技术获得更强的结果。通过对供应商选择的说明性案例研究，提出了拟议的MULTIMOOSRAL方法的适用性和有效性。PDF XML 取而代之的是一种新的原始方法，该方法应允许对替代方案进行更简单的最终排名，以便使用五种不同的技术来获得更好的结果。通过对供应商选择的说明性案例研究，提出了拟议的MULTIMOOSRAL方法的适用性和有效性。PDF XML 取而代之的是一种新的原始方法，该方法应允许对替代方案进行更简单的最终排名，以便使用五种不同的技术来获得更好的结果。通过对供应商选择的说明性案例研究，提出了拟议的MULTIMOOSRAL方法的适用性和有效性。PDF XML