Abstract
Making economic decisions is indeed a very interesting and perspective domain for many applications of methods and tools of computer science. However, economic decision problems are difficult to formalize. First of all it results from their complex character and great number of parameters describing their evolution, inexplicitness and incompleteness of available information as well as shortage of explicit criteria explaining economic decisions. Thus in economic decisions we often use intuition and knowledge which is accumulated in the process of creative generalization of practical experiments and observation results or empirical analysis. The same should be obviously considered during development of computer systems which support the process of making economic decisions.
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References
Bazan, J., Skowron, A., Synak, P.: Market data analysis: A rough set approach. In: ICS Research Report 6/94, Warsaw University of Technology (1994)
Bazan, J., Skowron, A., Synak, P.: Discovery of decision rules from experimental data. In: T.Y. Lin (ed.): Proceedings of the Third International Workshop on Rough Sets and Soft Computing (RSSC’94), San Jose State University, San Jose, California, USA, November 10–12 (1994) 526–533
Bazan, J., Skowron, A., Synak, P.: Dynamic reducts as a tool fos extracting laws from decision tables. In: Z. W. Ras, M. Zemankova (eds.), Proceedings of the Eighth Symposium on Methodologies for Intelligent Systems, Charlotte, NC, October 16–19, Lecture Notes in Artificial Intelligence 869, Springer-Verlag (1994) 346–355
Bednarski, L., Borowiecki, R., Duraj, J., Kurtys, E., Wasniewski, T., Wersty, B.: Economic analysis in a company, Wydawnictwo Akademii Ekonomicznej we Wroclawiu, Wroclaw (1993) (in Polish)
Brilman, J., Maire, C.: Manuel d’evaluation des entreprises. Les Editions d’Organisation, Paris (1990)
Buzala, S.: Rough sets in marketing decisions. The Master Thesis, Silesian Technical University, Gliwice (1995) (in Polish)
Chang, C.R., Lee, R.C.T.: Symbolic logic and mechanical theorem proving, Academic Press (1973)
Clocksin, W., Mellish, C.: Programming in Prolog, (2nd ed.) Berlin B.R.D., Springer-Verlag (1984)
Debski, W.: Bank risk. Bank i Kredyt 10 (1994) (in Polish)
Delenda, J.F.: Achat et vente d’entreprise. Belfond, Paris (1994)
Fan Dai: Centralized, application oriented graphical interaction control using an example of planning robotic tasks. Computer & Graphics 17/2 (1993) 155–163
Garbarski, L., Rutkowski, I., Wrzosek, W.: Marketing. Panstwowe Wydawnictwo Ekonomiczne, Warszawa (1994) (in Polish)
Grzymala-Busse, J.: LERS–A system for learning from examples based on rough sets. In: R. Slowinski (ed.): Intelligent Decision Support–Handbook of Applications and Advances of Rough Sets Theory, Kluwer Academic Publishers, Dordrecht (1992) 3–18
Guillon, P.M., Lengaigne, J.J.: Mémento les professions. Patrimoine Management & Technologies, Bulogne (1994)
Lenarcik, A., Piasta, Z.: Rough classifiers. In: W. Ziarko (ed.): Rough Sets, Fuzzy Sets and Knowledge Discovery (RSKD’93). Workshops in Computing, Springer-Verlag & British Computer Society, London, Berlin (1994) 298–316
Kamela-Sowinska, A.: The object of pricing in privatization. Rachunkowoc 3 (1993) (in Polish)
Kotler., Ph.: Marketing management. Prentice Hall, New York (1989)
Krawczyk, R.: Computer system supporting companies valuation. The Master Thesis, Silesian Technical University, Gliwice (1995) (in Polish)
LE95] Les Echos: Le Quotidien de l’Economie 16875 (1995)
Meffert, H.: Marketing. Gabler, Wiesbaden (1986)
Merritt, D.: Building experts systems in Prolog. Springer-Verlag, New York (1989)
Nogalski, B., Glowacki, K.: The value and price of a company - interpretation dilemmas. Przeglad organizacji 5 (1994) (in Polish)
Pawlak, Z.: Rough sets. International Journal of Information and Computer Science 11 (1982) 341–356
Pawlak, Z.: Rough sets. Theoretical aspects of reasoning about data, Kluwer Academic Publishers, Dordrecht (1991)
Piasta] Piasta, Z.: Data mining and knowledge discovery in marketing and financial databases with rough classifiers. Wydawnictwo Akademii Ekonomicznej we Wroclawiu, Wroclaw (to appear) (in Polish)
PiaLen] Piasta, Z., Lenarcik, A.: Learning rough classifiers from large databases with missing values. (in this book)
REDUCT System, Inc.: DataLogic/R reference manual, Regina, Canada (1992)
Robinson, J.A.: A machine oriented logic based on the resolution principle. Journal Assoc. Comp. Mach. 12 (1965) 23–41
Sierpinska, M., Jachna, T.: The company evaluation according to international standards, Wydawnictwo Naukowe PWN, Warszawa (1993) (in Polish)
Skabek, K.: Computer system supporting credit decisions. The Master Thesis, Silesian Technical University, Gliwice (1996) (in Polish)
Slowinski, R. (ed.): Intelligent Decision Support — Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht (1992)
Slowinski, R., Zopounidis, C.: Application of the rough set approach to evaluation of bankruptcy risk. International J. Intelligent Systems in Accounting, Finance & Management 4/1 (1995) 27–41
VPoe197] Van den Poel, D.: Rough sets for database marketing (in this book)
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Mrózek, A., Skabek, K. (1998). Rough Sets in Economic Applications. In: Polkowski, L., Skowron, A. (eds) Rough Sets in Knowledge Discovery 2. Studies in Fuzziness and Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1883-3_13
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DOI: https://doi.org/10.1007/978-3-7908-1883-3_13
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