On the use of syntactic pattern recognition methods for strategic management

• Autorzy: Jurek J.
• Języki publikacji: EN

Abstrakty

EN

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 contextsensitive 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.

Słowa kluczowe

EN

balanced scorecard; syntactic pattern recognition; quasi context-sensitive grammars

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2009
• Tom: Vol. 35, no 3
• Strony: 55--61
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Jurek J.

• Jagiellonian University, Information Tehnology Systems Department, ul Straszewskiego 27, 31-110 Kraków, Poland,

Bibliografia

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• [2] Flasiński M., Zarządzanie projektami informatycznymi, (in Polish), Wydawnictwo Naukowe PWN, 2006.
• [3] Flasiński M., Jurek J., On the analysis of fuzzy string patterns with the help of extended and stochastic GDPLL(k) grammars, Fundamenta Informaticae, No. 71, 2006, pp. 1-14.
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• [5] Jurek J., On the Linear Computational Complexity of the Parser for Quasi Context-sensitive Languages, Pattern Recognition Letters, No. 21, 2000, pp. 179-187.
• [6] Jurek J., Towards Grammatical Inferencing of GDPLL(k) Grammars for Applications in Syntactic Pattern Recognition-Based Expert Systems, Lecture Notes in Computer Science, No. 3070, 2004, pp. 604-609.
• [7] Jurek J., Recent developments of the syntactic pattern recognition model based on quasi context-sensitive languages, Pattern Recognition Letters, No. 26, 2005, pp. 1011-1018.
• [8] Jurek J., Syntaktyczne rozpoznawanie obrazów za pomocą gramatyk ciągowych klasy GDPLL(k), (in Polish), Wydawnictwo Uniwersytetu Jagiellońskiego, 2005.
• [9] Jurek J., Generalisation of a Language Sample for Grammatical Inference of GDPLL(k) Grammars, Computer Recognition Systems 2 (Advances in Soft Computing series), Springer-Verlag, Berlin Heidelberg, Germany, 2007, pp. 282-288.
• [10] Jurek J., Grammatical Inference as a Tool for Constructing Self-Learning Syntactic Pattern Recognition-Based Agents, Lecture Notes in Computer Science, No. 5103, 2008, pp. 712-721.
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