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1998 | 60 | 151-178

Article title

Zbiory przybliżone w badaniach koniunktury gospodarczej


Title variants

Rough Sets in !nvestigation$ of Economic Conditions in Construction Industry

Languages of publication



The problem of imperfect knowledge became crucial issue for many applications including economic applications. Rough set theory, proposed by Z. Pawlak (1982) is one of the existing approaches to understanding and manipulation of imperfect knowledge. This theory has attracted many researchers and practitioners all over the world, who contributed essentially to its numerous developments and applications. The aim of this chapter is to present preliminaries of rough set theory (including information systems and decision tables, indiscernibility, lower and upper approximations of sets, reducts, patterns) and application of rough set methods to the construction industry data analysis with respect to the economic conditions. We present some methods based on rough set approach for solution of the following problems related to the analysis of such data: - Extracting dependencies between queries in questionnaires. - Searching for relationships between respondent answers and classification. - Extraction of (minimal) relevant subsets of queries predicting with high quality answers for other questions. Characterization of respondent situation changes in the consecutive year quarters. We discuss the results of Computer experiments including also visual representation of the received results.






Physical description



  • [1] E. Adamowicz, M. Podgórska (1994), Biuletyn Koniunktura w budownictwie nr 1 -4, Instytut Rozwoju Gospodarczego SGH.
  • [2] J. Bazan, A. Skowron, P. Synak (1995), Dokumentacja; System analizy danych metodami zbiorów przybliżonych, Wydz. Matematyki, Informatyki i Mechaniki UW.
  • [3] A. Chądzyńska, E. Perkowska, A. Wachecka-Skowron (1994), Badanie ankiet dotyczących koniunktury w budownictwie w oparciu o teorią zbiorów przybliżonych, Instytut Ekonometrii SGH.
  • [4] S.H.Nguyen, L. Polkowski, A. Skowron, P. Synak, J. Wróblewski (1996) Searching for approximate description of decision classes, Rough Sets, Fuzzy Sets and Machinę Discovery, Tokyo, Nov. 6-8, 1996 r.
  • [5] Z. Pawlak (1982), Rough Sets, International Journal of Computer and Information Science 11, 341-356.
  • [6] E. Perkowska, A. Wachecka-Skowron (1995), Zastosowanie teorii zbiorów przybliżonych do analizy ankiety pt. “Konimktura w budownictwie", Zeszyły Naukowe Kolegium Analiz Ekonomicznych SGH 2,
  • [7] E. Perkowska, A. Wachecka-Skowron (1995), Zastosowanie teorii zbiorów przybliżonych do analizy danych ekonomicznych, Badania Operacyjne i Systemowe ’95, Gdynia, 21-23.09.1995.

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Publication order reference


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