Knowledge Acquisition, Representation \& Manipulation in Decision
  Support Systems
  In this paper we present a methodology and discuss some implementation issues
for a project on statistical/expert approach to data analysis and knowledge
acquisition. We discuss some general assumptions underlying the project.
Further, the requirements for a user-friendly computer assistant are specified
along with the nature of tools aiding the researcher. Next we show some aspects
of belief network approach and Dempster-Shafer (DST) methodology introduced in
practice to system SEAD. Specifically we present the application of DS
methodology to belief revision problem. Further a concept of an interface to
probabilistic and DS belief networks enabling a user to understand the
communication with a belief network based reasoning system is presented
