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  • The aim of this paper is to present experimental results on a recently developed method of factor analysis of data with graded, or fuzzy, attributes. The method utilizes formal concepts of data with graded attributes. In our previous papers, we described the factor model, the method, an algorithm to compute factors, and provided basic examples. In this paper, we perform a more extensive experimentation with this method. In particular, we apply the method to factor analysis of sports data. The aim of the paper is to demonstrate that the method yields reasonable factors, explain in detail how the factor model and the factors are to be understood, introduce some new conceptual issues relevant to factor analysis, and briefly discuss the relationship of this method to related methods.
  • The aim of this paper is to present experimental results on a recently developed method of factor analysis of data with graded, or fuzzy, attributes. The method utilizes formal concepts of data with graded attributes. In our previous papers, we described the factor model, the method, an algorithm to compute factors, and provided basic examples. In this paper, we perform a more extensive experimentation with this method. In particular, we apply the method to factor analysis of sports data. The aim of the paper is to demonstrate that the method yields reasonable factors, explain in detail how the factor model and the factors are to be understood, introduce some new conceptual issues relevant to factor analysis, and briefly discuss the relationship of this method to related methods. (en)
Title
  • Factor analysis of sports data via decomposition of matrices with grades
  • Factor analysis of sports data via decomposition of matrices with grades (en)
skos:prefLabel
  • Factor analysis of sports data via decomposition of matrices with grades
  • Factor analysis of sports data via decomposition of matrices with grades (en)
skos:notation
  • RIV/61989592:15310/12:33141633!RIV13-GA0-15310___
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  • P(GAP202/10/0262)
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  • 136029
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  • RIV/61989592:15310/12:33141633
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  • factor analysis, relational data, graded attributes, ordinal attributes, formal concept analysis (en)
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  • [F78682DF8C8F]
http://linked.open...v/mistoKonaniAkce
  • Fuengirola (Málaga), Španělsko
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  • Málaga, Špalělsko
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  • Proceedings of the 9th International Conference on Concept Lattices and Their Applications
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  • Bělohlávek, Radim
  • Krmelová, Markéta
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number of pages
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  • Universidad te Málaga, Špalělsko
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  • 978-84-695-5252-0
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  • 15310
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