Podstawy systemów ekspertowych. Zagadnienia implementacji

• Autorzy: Wakulicz-Deja A.

Warianty tytułu

EN

Principles of expert systems. The issues of implementation

• Języki publikacji: PL

Słowa kluczowe

PL

system ekspertowy; baza wiedzy; reprezentacja wiedzy; proces wnioskowania

EN

expert system; knowledge base; representation of knowledge base

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Studia Informatica
• Rocznik: 2005
• Tom: Vol. 26, nr 3
• Strony: 51--68
• Opis fizyczny: Bibliogr. 29 poz., rys.

Twórcy

autor

Wakulicz-Deja A.

• Politechnika Śląska, Instytut Informatyki, ul. Akademicka 16, 44-101 Gliwice, Polska,

Bibliografia

• Bubnicki, Z.: Wstęp do systemów ekspertowych. PWN, Warszawa 1990.
• Cholewa W., Pedrycz W.: Systemy doradcze. Politechnika Śląska (skrypt), Gliwice 1987.
• Forsyth R.: Expert Systems. Principles and case studies, London 1984.
• Fregenfeld W. A.: Decision Support Systems. NCC Publications, 1982.
• Grzymała-Busse J.: Managing Uncertainty in Expert Systems. Kluwer Academic Publish-ers, 1991.
• Grzymala-Busse J.: LERS – a system for learning from examples based on Rough Sets. In R. Słowiński R. (ed.), In intelligent decision support. Handbook of Applications and Advances of the Rough Sets Theory, 3. Kluwer Academic Publishers,1992.
• Luger G. F.: Artificial Intelligence, Addison Wesley, USA, 2002.
• Marszał-Paszek B., Paszek P.: Extracting Minimal Templates in a Decision Table, Moni-toring, Security and Rescue Techniques in Multiagent Systems, Springer Verlag, Berlin 2005, s. 339÷344.
• Moshkov M. Ju.: Decision trees and Reducts for Distributed Decision Tables. Springer Verlag, Berlin 2005, s. 239÷248.
• Mulawka, J. J.: Systemy ekspertowe. WNT, Warszawa 1996.
• Nowak A., Wakulicz-Deja A.: The Efficiency of the Rules Clasification Based on the Cluster Analysis Method and Salton`s Method, Monitoring, Security and Rescue Tech-niques in Multiagent Systems, Springer Verlag, Berlin 2005, s. 333÷338.
• Pawlak Z.: Rough Sets. Int. J. of Information and Computer Sci 11, 1982, 344-356.
• Pawlak Z., Systemy informacyjne. Podstawy teoretyczne. WNT, Warszawa 1983.
• Pawlak Z.: Rough Sets: Theoretical aspects of reasoning about data. Boston: Kluwer Academic Publishers, 1991.
• Pawlak Z., Skowron A.: A Rough Set approach to decision rules generation. ICS Research report 93, 1993.
• Pawlak Z.: Rough Sets, Decision Algorithms and Bayes’ Theorem. European Journal of Operational Research, 2002.
• Rasiowa H.: Wstęp do matematyki współczesnej. PWN, Warszawa 1982.
• Raś Z., Gupta S.: Global action rules in distributed knowledge systems. In Fundamenta Informaticae Journal, IOS Press, 2002.
• Russell, S. J., Norvig, P.: Artificial Intelligence. A Modern Approach, by Pearson Education, USA, 2003.
• Simiński R., Wakulicz-Deja A.: Circularity in Rule Knowledge Bases Detection using Decision Unit Approach. Monitoring, Security and Rescue Techniques in Multiagent Systems, Springer Verlag, Berlin 2005, s. 273÷279.
• Skowron A., Grzymała-Busse J.: From the Rough Set Theory to the Evidence Theory. In ICS Research Reports, 8/91, Warsaw University of Technology, 1991.
• Skowron A., Rauszer G.: The discernibility matrices and functions in information systems. In R. Słowiński (ed.), In intelligent decision support. Handbook of Applications and Advances of the Rough Sets Theory, 331÷336. Kluwer Academic Publishers, 1992.
• Sobolewski M., Percept knowledge description and representation, Prace IPI PAN, 1986.
• Wakulicz-Deja A.: Automated certification system for work – stations. International Journal of Man-Machine Studies, Calgary, Canada 1995.
• Wakulicz-Deja A., Paszek P.: Diagnose progressive encephalopathy applying the rough set theory. International Journal of Medical Informatics nr 46/97, s. 119÷127.
• Wakulicz-Deja A, Paszek P.: The Application of Support Diagnose in Mitochondrial Encephalomyoathies. Lecture Notes in Artificial Intelligence, Springer, 2002, s. 586÷593.
• Wakulicz-Deja A., Paszek P.: Applying Rough Set Theory to Multi Stage Medical Diag-nosing. Fundamenta Informaticae, IOS Press vol.54 No 4, 2003, s. 387÷408.
• Wakulicz-Deja A., Simiński R., Decision Units as a Tool for Rule Base Modeling and Verification. Intelligent Information Processing and Web Mining, Springer Verlag, 2003, s. 553÷556.
• Wakulicz-Deja A., Simiński R.: Application of Decision Units in Knowledge Engi-neering, Rough Sets and Current Trends in Computing, Subseries of Lecture Notes in Computer Science, Springer Verlag, 2004, s. 721÷727.