Group AHP framework based on geometric standard deviation and interval group pairwise comparisons

The complexity of multi-criteria decision problems requires the involvement a group experts, who can contribute their knowledge, experience and opinions to decision-making process. aim this study is present new analytic hierarchy process (AHP) framework, called GSD-IJ. main idea emphasize satisfaction with final decision, which measured by index. GSD-IJ based on geometric mean standard deviation allows aggregation individual scalar valued judgments into interval judgments. width controlled parameter λ, ensures acceptable degree uncertainty judgments, while providing highest possible value Fuzzy preference programming used derive scalar-valued weights from pairwise comparison matrix. Three examples are given evaluate validate results show that performs well suitable for solving problems.