A linear programming approach for learning non-monotonic additive value functions in multiple criteria decision aiding.

•A new disaggregation method to infer non-monotonic value functions from indirect pairwise comparisons is introduced.•The variation in slope is minimized against discriminatory power of the inferred value function.•The proposed methodology leads to a linear programming problem.•A thorough experimental analysis is conducted to demonstrate effectiveness of the proposed methodology.