Interval-valued Picture Fuzzy Geometric Bonferroni Mean Aggregation Operators in Multiple Attributes

In this paper, the interval-valued picture fuzzy geometric Bonferroni mean (IVPFGBM) and interval-valued picture fuzzy weighted geometric Bonferroni mean (IVPFWGBM) under interval-valued picture fuzzy (IVPF) environments is studied. First, the IVPFGBM and IVPFWGBM operators are proposed, and a few of their desirable properties and special cases are thoroughly investigated. Then, a method based on the IVPFWGBM operator is proposed for multiple attribute decision making (MADM). Finally, a real-world example of coconut tree yield (CTY) is provided to validate the suggested strategy and show its applicability and efficacy. The problem of how to aggregate this interval-valued picture fuzzy data using the Bonferroni mean is therefore an important one and it is the paper's primary focus. Mathematics Subject Classification- 03E72, 08A 72, 54A40.