Concise and beautiful algorithms written in Julia
DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncertainty, modeled using influence diagrams. Internally, it relies on mathematical optimization. Decision models can be embedded within other optimization models.
Code supporting the paper Collaborative Decision Making Using Action Suggestions.
Introductory (adjustable) robust optimization by matrix computation with box uncertainty and budget of uncertainty.
A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
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