On multidimensional linear modelling including real uncertainty

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  author =       "Jana Nowakova and Miroslav Pokorny",
  title =        "On multidimensional linear modelling including real
  journal =      "Advances in Electrical and Electronic Engineering",
  year =         "2014",
  volume =       "12",
  number =       "5",
  pages =        "511--517",
  keywords =     "genetic algorithms, genetic programming, Complex
                 systems, Fuzzy linear regression, Fuzzy number, Fuzzy
                 set, Possibility area, Vague property",
  broken =       "https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920135016&doi=10.15598%2faeee.v12i5.1143&partnerID=40&md5=219d3cbd0311aedc8f8beb1348e0911d",
  DOI =          "doi:10.15598/aeee.v12i5.1143",
  affiliation =  "Department of Cybernetics and Biomedical Engineering,
                 VSB-Technical University of Ostrava, 17. listopadu
                 15/2172, Ostrava-Poruba, Czech Republic",
  abstract =     "The theoretical background for abstract for-malization
                 of vague phenomenon of complex systems is fuzzy set
                 theory. In the paper are defined vague data as
                 specialized fuzzy sets - fuzzy numbers and there is
                 described a fuzzy linear regression model as a fuzzy
                 function with fuzzy numbers as vague regression
                 parameters. To identify the fuzzy coefficients of model
                 the genetic algorithm is used. The linear approximation
                 of vague function together with its possibility area
                 are analytically and graphically expressed. The
                 suitable numerical experiments are performed namely in
                 the task of two-dimensional fuzzy function modelling
                 and the time series fuzzy regression analysis as
  source =       "Scopus",

Genetic Programming entries for Jana Nowakova Miroslav Pokorny