ON THE USE OF SYNTACTIC PATTERN RECOGNITION METHODS FOR STRATEGIC MANAGEMENT

摘要

A model of the application of syntactic pattern recognition methods in a computer system supporting strategic management in an enterprise (based on Balanced Scorecard) is presented in the paper. The goal of BCSPRS system (Balanced ScoreCard Pattern Recognition System) is the analysis and recognition of patterns representing changes of values of strategic measures in time-series. The model of BCSPRS is based on the syntactic pattern recognition approach with the use of GDPLL(k) grammars (quasi context-sensitive string grammars). The model is efficient computationally and it can be used for the recognition of even very complex patterns. Additionally, the model provides a self-learning feature: the knowledge base about the patterns to be recognized can be automatically extended by the proper grammatical inference algorithms.