Abstract
A decision support system for hydropower dam operation is designed in this study based on crisp reasoning by production system and on artificial neural network. At the first step of the designing, symbolic reasoning is adopted to express the provisions of dam operational regulations and related manuals; each provision is translated into computer compatible rule in if-then form and stored in rule bases. Then an inference engine is designed to extract appropriate rules and apply them. Object-oriented designing using C++ is adopted for the inference. Artificial neural network is introduced to extract and express the operators' knowledge and policy. Based on several records of actual operation, the network structure is defined and its parameters are determined.
