Fuzzy Aras method with objective weight for solving logistic provider problem

• Published in: AIP Conference Proceedings
• Main Author: Mohamad D.; Ahmad S.A.S.; Azhar H.
• Format: Conference paper
• Language: English
• Published: American Institute of Physics Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182580919&doi=10.1063%2f5.0171735&partnerID=40&md5=22a70678dd985caf82c6ad048bce598a

Many MCDM methods involve two independent evaluations for obtaining the best option or result. The evaluations involved are the importance of criteria and the rating of alternatives. The introduction of the objective weight method has improved the process of determining the criteria weight significantly where it can be obtained directly from the alternatives' ratings. The method of CRiteria Importance Through Inter-criteria Correlation (CRITIC) is one of the well-known objective weight methods that is effectively used to solve many decision-making problems. Some variants of the CRITIC methods including the distance-based CRITIC (D-CRITIC) have been introduced. The D-CRITIC employs the distance correlation in the calculation and has an advantage over the other variants since it can produce more stable criteria weights and ratings of a larger decision matrix. In this paper, the method of Fuzzy ARAS with D-CRITIC is proposed to solve a third-party logistic provider problem. The consistency of ranking of the proposed method with the original Fuzzy ARAS is analyzed using the Spearman's rank correlation method. The results show that the ranking is consistent, and the proposed method has the advantage of having a lesser evaluation process. © 2024 Author(s).