| Title |
A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems |
| Authors |
YAZDANI, MORTEZA, Zarate P. , Kazimieras Zavadskas E. , Turskis Z. |
| External publication |
No |
| Means |
Manag. Decis. |
| Scope |
Article |
| Nature |
Científica |
| JCR Quartile |
2 |
| SJR Quartile |
1 |
| JCR Impact |
2.72300 |
| SJR Impact |
0.86200 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057110869&doi=10.1108%2fMD-05-2017-0458&partnerID=40&md5=ca98c1da402665fec93dfb6c7c986c92 |
| Publication date |
15/10/2019 |
| ISI |
000490251700016 |
| Scopus Id |
2-s2.0-85057110869 |
| DOI |
10.1108/MD-05-2017-0458 |
| 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. © 2018, Emerald Publishing Limited. |
| Keywords |
Combined compromise solution (CoCoSo) method; Multi-criteria decision-making (MCDM) |
| Universidad Loyola members |
|
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