用于扩展叉车选择问题的MEREC方法的多关键语音框架

IF 0.3 Q4 ECONOMICS
Nuh Keleş
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引用次数: 0

摘要

叉车用于提升、降低、装载和运输货物。本研究的目的是采用多准则决策(MCDM)方法组合选择叉车。它使用了6个标准、13个备选方案和MEREC方法。这项研究还提出了双重标准化(DNMEREC),以有助于对替代品进行更方便、更稳定的排名。使用21种不同的方法来评估替代品:ARAS、CODAS、COPRAS、CoCoSo、ELECTRE、MABAC、EDAS、VIKOR、TOPSIS、SAW、WASPAS、PROMETHEE、MOORA、MOOSRA、MAIRCA、OCRA、PIV、GRA、ROV、MARCOS、PSI。使用Borda和Copeland方法对不同方法的排名进行整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forklift Seçim Probleminin Kapsamlı Çözümü için MEREC Yöntemine Dayalı Çok Kriterli Bir Karar Verme Çerçevesi
Forklift vehicles are used for lifting, lowering, loading, and transporting loads. Aimed of this study is the selection of a forklift vehicle with a combination of multi-criteria decision-making (MCDM) methods. It was used six criteria, 13 alternatives, and the MEREC method. This study also presents a double normalization (DNMEREC) to contribute to a more convenient, and stable ranking of alternatives. 21 different methods were used to evaluate the alternatives: ARAS, CODAS, COPRAS, CoCoSo, ELECTRE, MABAC, EDAS, VIKOR, TOPSIS, SAW, WASPAS, PROMETHEE, MOORA, MOOSRA, MAIRCA, OCRA, PIV, GRA, ROV, MARCOS, PSI. The different methods rankings are integrated using the Borda, and Copeland methods.
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