An extension of CODAS method for multi-criteria group decision making with complex intuitionistic fuzzy information via Dombi sine weighted arithmetic aggregation operators

Garg H., OLGUN M., ÜNVER M., Türkarslan E.

Granular Computing, vol.8, no.6, pp.1467-1480, 2023 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 8 Issue: 6
  • Publication Date: 2023
  • Doi Number: 10.1007/s41066-023-00383-0
  • Journal Name: Granular Computing
  • Journal Indexes: Scopus
  • Page Numbers: pp.1467-1480
  • Keywords: Aggregation operator, Complex intuitionistic fuzzy set, Dombi t-norm, MCGDM
  • TED University Affiliated: Yes


The objective of this study is to introduce sine trigonometric weighted arithmetic aggregation operators for multi-criteria group decision making in complex intuitionistic fuzzy environment. Specifically, the study focuses on the Dombi aggregation operators and defines the Euclidean distance and Hamming distance between complex intuitionistic fuzzy values. We propose an extended version of the Combinative Distance-Based Assessment (CODAS) method that utilizes the Dombi sine weighted arithmetic aggregation operator and proposed distances. To demonstrate the effectiveness of the proposed method, we apply it to a problem involving the selection of a biometric-based attendance device from literature, and we also perform a 3-dimensional sensitivity analysis to visualize the robustness of the proposed method. Finally, a comparative analysis is conducted to compare the results of this paper with those of previous studies in the literature.