Sequences of decisions that occur under uncertainty arise in a variety of settings, including transportation, communication networks, finance, defence, etc. The classic approach to find an optimal decision policy for a sequential decision problem is dynamic programming; however its usefulness is...

Some potentially dangerous diseases are completely asymptomatic. Their diagnosis as incidental findings of ever more sensitive medical imaging can leave patients and physicians in something of a quandary. The patient feels well and potential interventions to stave off long term deterioration or...

Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with...

There is a growing demand for public participation in environmental decision-making. However, it is unclear how a large number of citizens can best engage in such complex public policy decision processes. This need from the civil society challenges the OR community to develop online...