  Little knowledge exists on the impact and results associated with
e-government projects in many specific use domains. Therefore it is necessary
to evaluate the efficiency and effectiveness of e-government systems. Since the
development of e-government is a continuous process of improvement, it requires
continuous evaluation of the overall e-government system as well as evaluation
of its various dimensions such as determinants, characteristics and results.
E-government development is often complex with multiple stakeholders, large
user bases and complex goals. Consequently, even experts have difficulties in
evaluating these systems, especially in an integrated and comprehensive way as
well as on an aggregate level. Expert systems are a candidate solution to
evaluate such complex e-government systems. However, it is difficult for expert
systems to cope with uncertain evaluation data that are vague, inconsistent,
highly subjective or in other ways challenging to formalize. This paper
presents an approach that can handle uncertainty in e-government evaluation:
The combination of Belief Rule Base (BRB) knowledge representation and
Evidential Reasoning (ES). This approach is illustrated with a concrete
prototype, known as Belief Rule Based Expert System (BRBES) and put to use in
the local e-government of Bangladesh. The results have been compared with a
recently developed method of evaluating e-Government, and it is shown that the
results of BRBES are more accurate and reliable. BRBES can be used to identify
the factors that need to be improved to achieve the overall aim of an
e-government project. In addition, various "what if" scenarios can be generated
and developers and managers can get a forecast of the outcomes. In this way,
the system can be used to facilitate decision making processes under
uncertainty.
