Abstract
An expert system approach to analysis and control in certain complex systems is proposed. It is assumed that a system under consideration can be described by means of knowledge engineering methods, i.e. the specific domain knowledge can be encoded in the form of inference rules. The particular knowledge about certain states of the system is represented as sets of facts true in a certain state, so-called state-sets. A language for knowledge representation, based on First Order Predicate Calculus, which offers an easy way for representation of constraints imposed on certain variables is proposed and a uniform inference rule scheme for both forward and backward- chained reasoning is given. Moreover, an easy and natural way of representing and dealing with the uncertainty of domain knowledge is proposed, both for probabilistic and fuzzy approaches. Unlike some other expert systems, in the presented approach it is possible to express some general knowledge with the use of variables, constraints and even functional dependences.
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