Decision Support Method Based on Interval-Valued Spherical Fuzzy Density Operator

The information aggregation operator in a fuzzy environment effectively reduces information errors and enhances the accuracy of decision making. In this paper, considering the preference of decision makers (DMs) for dense distribution of evaluation information, we introduce density intermediate operators, and propose interval-valued spherical fuzzy density intermediate operator to achieve effective aggregation of information. In addition, the entropy theory in the interval-valued spherical fuzzy environment are extended. On this basis, a decision support method combining TOPSIS is proposed. Finally, an example is provided to illustrate the effectiveness of the proposed method, and its sensitivity analysis are carried out.