1. A novel approach on decision support system based on triangular linguistic cubic fuzzy Dombi aggregation operators
- Author
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Muneeza, Muhammad Qiyas, Saleem Abdullah, and Ronnason Chinram
- Subjects
Decision support system ,Computer science ,business.industry ,Artificial intelligence ,Geometry and Topology ,business ,Fuzzy logic ,Software ,Theoretical Computer Science - Abstract
The triangular linguistic cubic fuzzy sets (TLCFSs) can express the fuzzy data easily, and also very useful in modeling of uncertain data in decision making (DM) problems. First of all, on the basis of Dombi t-norm and t-conorm (DTT), we propose novel operational rules of triangular linguistic cubic fuzzy numbers (TLCFNs). We propose some new aggregation operators of TLCFNs based on the newly-developed operations, i.e., triangular linguistic cubic fuzzy Dombi weighted averaging (TLCFDWA), triangular linguistic cubic fuzzy Dombi weighted geometric (TLCFDWG), triangular linguistic cubic fuzzy Dombi order weighted averaging (TLCFDOWA), triangular linguistic cubic fuzzy Dombi order weighted geometric (TLCFDOWG), triangular linguistic cubic fuzzy Dombi hybrid weighted averaging (TLCFDHWA), and triangular linguistic cubic fuzzy Dombi hybrid weighted geometric (TLCFDHWG) operators. Furthermore, a new method is proposed with the help of the proposed operators to solved the decision making problem. Finally, a numerical example is provided to illustrate the effectiveness of the new method. Comparative analysis is used to demonstrate the proposed method's superiority.
- Published
- 2022