predictive analytics

The Analytics of Robust Satisficing: Predict, Optimize, Satisfice, then Fortify

  • Melvyn Sim
  • Qinshen Tang
  • Minglong Zhou
  • Taozeng Zhu
    • Categories Robust Optimization Tags , , ,

    We introduce a novel approach to prescriptive analytics that leverages robust satisficing techniques to determine optimal decisions in situations of risk ambiguity and prediction uncertainty. Our decision model relies on a reward function that incorporates uncertain parameters, which can be partially predicted using available side information. However, the accuracy of the linear prediction model depends … Read more

    Robust Actionable Prescriptive Analytics

  • Li Chen
  • Melvyn Sim
  • Xun Zhang
  • Minglong Zhou
  • Long Zhao
    • Categories Linear Programming, Robust Optimization, Stochastic Programming Tags , , , , ,

    We propose a new robust actionable prescriptive analytics framework that leverages past data and side information to minimize a risk-based objective function under distributional ambiguity. Our framework aims to find a policy that directly transforms the side information into implementable decisions. Specifically, we focus on developing actionable response policies that offer the benefits of interpretability … Read more