Often, decision making involves autonomous agents that are structured in a complex hierarchy, representing e.g. authority. Typically the agents share the same body of knowledge, but each may have its own, possibly conflicting, preferences on the available information. We model the common knowledge base for such preference agents as a logic program under the extended answer set semantics, thus a...

The paper describes the use of hierarchical decision making in information engineering on the base of the following: (i) multicriteria description and analysis of main components (hardware, software, algorithms, etc.); (ii) basic discrete decision making problems (multicriteria selection, multicriteria composing (synthesis) of composite systems from elements with taking into account their compa...

We elaborate on hierarchical credal sets, which are sets of probability mass functions paired with second-order distributions. A new criterion to make decisions based on these models is proposed. This is achieved by sampling from the set of mass functions and considering the Kullback-Leibler divergence from the weighted center of mass of the set. We evaluate this criterion in a simple classific...

While migration decision-making has long been studied using mover-stayer models and standard regression models, they do not well handle smalland large-scale heterogeneities (migration propensities). The hierarchical regression model can help solve this problem, because it deals with data organized hierarchically and studies variation at different levels of the hierarchy simultaneously. Using Wi...

Autonomous, elementary units of production, co-operating in temporary networks, are considered as the organisational form of enterprises in the 21st century. A scientific approach is provided by networks based on customeroriented, directly linked, smallest autonomous business units called Competence Cells. Simultaneously this concept points out perspectives for present-day small and medium-size...

The power grid is a complex and vital system that necessitates careful reliability management. Managing the grid is a difficult problem with multiple time scales of decision making and stochastic behavior due to renewable energy generations, variable demand and unplanned outages. Solving this problem in the face of uncertainty requires a new methodology with tractable algorithms. In this work, ...