ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS

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PAWLAK, ZDZISLAW. “ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS”. Cybernetics and Systems, vol. 29, no. 7, 1998, pp. 661-88, https://doi.org/10.1080/019697298125470.
PAWLAK, Z. (1998). ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS. Cybernetics and Systems, 29(7), 661-688. https://doi.org/10.1080/019697298125470
PAWLAK, ZDZISLAW. “ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS”. Cybernetics and Systems 29, no. 7 (1998): 661-88. https://doi.org/10.1080/019697298125470.
PAWLAK Z. ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS. Cybernetics and Systems. 1998;29(7):661-88.
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The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 147 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Iterative radial basis functions neural networks as metamodels of stochastic simulations of the quality of search engines in the World Wide Web and was published in 2001. The most recent citation comes from a 2024 study titled Development of ice and snow tourism destinations in China: ecological security assessment and obstacle degree analysis. This article reached its peak citation in 2023, with 37 citations. It has been cited in 175 different journals, 19% of which are open access. Among related journals, the Information Sciences cited this research the most, with 19 citations. The chart below illustrates the annual citation trends for this article.
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