The purpose of this article is to propose a new technique to Pythagorean cubic fuzzy (PCF) multiple criteria decision making (MCDM) using the Topsis method with incomplete weight information. Firstly, the maximum deviation model is proposed to find the criteria for determining the optimal weights. Based on the developed method, a MCDM approach is proposed using PCF information. Furthermore, a numerical example is presented to show the feasibility and effectiveness of the proposed information. Finally, a systematic evaluation analysis is given to compare the present work with the existing work.
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