This position paper examines a critical paradox in e-health: there is a striking gap between critical information services for health care that can be implemented today using existing in information and communication technologies and those services that are actually available. Facets of this paradox are examined in the context of Canadian analyses and policy, advanced research on health care re...

A salvage-embedding (S-embedding) maps a complete binary tree G into a larger complete binary tree H some fraction of whose leaves have been labeled good. The S-embedding maps leaves of G one-to-one to good leaves of H; it may be many-to-one on internal nodes. We measure the quality of an S-embedding by its harvest, the fraction H of good leaves of H that are images of leaves of G, and its cong...

A generation method of scenarios using differential information between normal scenarios is presented. Behaviours of normal scenarios belonging to the same problem domain are quite similar. We derive the differential information between them and apply the information to generate new alternative/exceptional scenarios. Our method will be illustrated with examples. This paper describes (1) a langu...

A computational method is developed for solving time consistent distributionally robust multistage stochastic linear programs with discrete distribution. The structure of the uncertain parameters described by a scenario tree. At each node this tree, an ambiguity set defined conditional moment constraints to guarantee consistency. This employs idea nested Benders decomposition that incorporates ...

The development of scenario analysis (SA) to assist decision makers and stakeholders has been growing over the last few years through mainly exploiting qualitative information provided by experts. In this study, we present SA based on the use of qualitative data for strategy planning. We discuss the potential of SA as a decision-support tool, and provide a structured approach for the interpreta...