fuzzy; uncertainty; search; information source; expert system; information system; data resources

In present days, there are a lot of structured data stored in information systems. On the other hand, information systems store huge amount of not clearly structured data. For not clearly structured data, the full-text search algorithms have some limits. Wide range of information sources, together with vaguely defined structure of resources, is the reasons for which this area can be claimed to be the search under uncertainty. For this reasons, the methodology for searching information sources under uncertain conditions is proposed. The paper identifies the fundamental sources of uncertainty in this problem domain. Subsequently, a model representing the search methodology over resources with static, dynamic and dynamic character with authorization is proposed. Then, the expert system with knowledge base composed of IF-THEN rules, is proposed. The model deals with uncertainties on several levels, so the paper is also identifying them.