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A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems

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Date
2019
Author
Yazdani, Morteza
Zarate, Pascale
Zavadskas, Edmundas Kazimieras
Turskis, Zenonas
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Abstract
Purpose – The purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of previously developed methods is in high agreement. Design/methodology/approach – This paper introduces a combined compromise decision-making algorithm with the aid of some aggregation strategies. The authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results. Hence, the weight of the alternatives is placed in the decision-making process with three equations. In the final stage, an aggregated multiplication rule is employed to release the ranking of the alternatives and end the decision process. Findings – The authors described a real case of choosing logistics and transportation companies in France from a supply chain project. Some comparisons such as sensitivity analysis approach and comparing to other studies and methods provided to validate the performance of the proposed algorithm. Originality/value – The algorithm has a unique structure among MCDM methods which is presented for the first time in this paper.
Issue date (year)
2019
URI
https://etalpykla.vilniustech.lt/handle/123456789/148125
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  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

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