We propose a framework for automated multi-attribute decision making, employing the probabilistic non-monotonic description logics proposed by Lukasiewicz in 2008. Using this framework, we can model artificial agents in decision-making situation, wherein background knowledge, available alternatives and weighted attributes are represented via probabilistic ontologies. It turns out that extending...

Many construction companies struggle with multi-project optimization and change despite adhering to normative project portfolio management instructions and best practices. One explanation is that managers lack extensive multi-project management experience from which to apply related theory to practical outcomes. This paper proposes a three-dimensional segmentation framework to guide companies w...

New methods of data collection, in particular the wide range of sensors and sensor networks that are being constructed, with the ability to collect real-time data streams, provide a driver for an appropriate underlying theory for information related to dynamic geographic phenomena. This paper investigates the underlying processes by which entities with both spatial and aspatial components may e...

The International Network of Obstetric Survey Systems (INOSS) is a multi-country collaboration formed to facilitate studies of uncommon and severe complications of pregnancy and childbirth. Collaborations such as INOSS offer many benefits in the study of rare complications. The use of uniform case definitions, common datasets, specifically collected detailed data and prospectively agreed compar...

In this paper we argue why robust positioning in transportation applications is best achieved by multi-sensor fusion. Furthermore, we suggest that sensor fusion processing be performed in a probabilistic fashion and that in the majority of relevant practical applications one should draw on utility theory in order to make decisions that will be of the highest expected benefit given the current c...

Measuring health and health-related quality of life (HRQoL) is important for tracking the health of individuals and populations over time. Generic HRQoL measures allow for comparison across health conditions. One form of generic HRQoL measures are profile measures, which provide a description of health across several different domains (such as physical functioning, depression, and pain). Recent...

In World Wide Web environments, recommender systems are useful to reduce information overloading. A content-based recommender system recommends items according to their features. Vector Space Model (VSM) is a popular way to recommend items that are similar to those the user liked in the past. The main disadvantages of this content-based method are overspecialization and new user problems that i...

This article summarizes the cumulative progress of a cognitive-dynamical approach to decision making and preferential choice called decision field theory. This review includes applications to (a) binary decisions among risky and uncertain actions, (b) multi-attribute preferential choice, (c) multi-alternative preferential choice, and (d) certainty equivalents such as prices. The theory provides...