This article introduces new aggregation operators by combining Dombi and power operators, resulting in m-polar fuzzy Dombi power averaging and geometric operators, with several key properties analyzed. A novel approach is then developed using these combined operators to assist in selecting the best company for stock market investments. Unlike existing research, which primarily utilizes homogeneous sub-characteristics for each attribute in the mPF environment, this study emphasizes the use of heterogeneous sub-characteristic collections in our application to address complex, uncertain decision making challenges. Finally, the proposed approach is compared to various established operators and the MABAC method, with an analysis of its advantages and limitations.
m-polar fuzzy set Dombi and power aggregation operators MABAC approach Multi-attribute decision-making
Primary Language | English |
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Subjects | Operations Research İn Mathematics |
Journal Section | Research Articles |
Authors | |
Publication Date | September 1, 2025 |
Submission Date | August 5, 2024 |
Acceptance Date | December 2, 2024 |
Published in Issue | Year 2025 Volume: 15 Issue: 9 |