When wise people take critical decisions, they usually take into account the opinions from many experts. Now whether to give equal importance to each expert’s opinion or weigh them according to their expertise, their experience is another good logical problem to think on. The main focus of this paper is to closely compare the performance of equally weighted voting (democracy) schemes in Machine...

The paper deals with the research in the area of knowledge acquisition from multiple experts when knowledge includes temporal component. The expert’s ranking refinement technique is presented which is based on of the most supported opinion among all the experts. Paper answers to the following questions: how to derive the most supported knowledge from the multiple experts about the unknown tempo...

Many laws, e.g., those concerning taxes and social benefits, need to be operationalized and implemented into public administration procedures and eGovernment applications. Where such operationalization is warranted, the legal frameworks that interpret the underlying laws are typically prescriptive, providing procedural rules for ensuring legal compliance. We propose a UML-based approach for mod...

We define a hierarchical method for expert opinion aggregation that combines consonant beliefs in the Transferable Belief Model. Experts are grouped into schools of thought, then opinions are aggregated using the cautious conjunction operator within groups and the noninteractive disjunction across. This method is illustrated with a realworld dataset including 16 experts.

Knowledge engineers have been working in the legal domain since the rise of their discipline in the mid-eighties of the last century. More and more knowledge engineering is not just seen as a way of capturing and distributing (legal) knowledge by means of the knowledge-based systems created, but as an analytical approach that helps to improve legal quality. Improving legal access of course rema...