摘要
•Fractional-factorial probabilistic-possibilistic optimization framework was developed.•Probabilistic and possibilistic uncertainties were addressed.•Fuzzy sets were discretized using various combinations of α-cut levels.•Multi-level interactions among fuzzy parameters and their sensitivities were analyzed.•A number of decision alternatives were obtained under different policy scenarios.