Abstract
In this article, used Dombi t-norm (TN) and t-conorm (TCN) which can generate more complex and more flexible operation rules by adjusting a parameter to combine with prioritized aggregation operators (AOs) in bipolar fuzzy (BF) environment. In this study, introduced bipolar fuzzy Dombi prioritized AOs, namely bipolar fuzzy Dombi prioritized averaging operator, bipolar fuzzy Dombi geometric operator, bipolar fuzzy Dombi prioritized weighted averaging operator and bipolar fuzzy Dombi prioritized weighted geometric operator as these operators along with proofs to aggregate various preferences of the decision makers. In this purpose, we designed a multiple attribute decision-making technique for the proposed study. Finally, an illustrative example is given to demonstrate proposed approach under BF environment and a sensitivity analysis is considered for the working parameter on the ordering of the alternatives. A comparative study is provided for the choice best decision of the proposed approach with the existing problems. Finally, it is concluded that the proposed approach gives a more practical nature to aggregate the information process during the data analysis, and hence they take an alternative way for solving decision-making problems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
