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  • 标题:VAGUENESS OF REGRESSION MODELS PART I – LINEAR REGRESSION FUZZIFICATION
  • 本地全文:下载
  • 作者:Miroslav Pokorný ; Jana Nowaková
  • 期刊名称:Economics Management Innovation
  • 印刷版ISSN:1804-1299
  • 电子版ISSN:1805-353X
  • 出版年度:2013
  • 卷号:5
  • 期号:1
  • 页码:32
  • 出版社:Moravian University College Olomouc
  • 摘要:The theoretical background for abstract formalization of the vague phenomenon of complex systems is the fuzzy set theory. In the paper, vague data is defined as specialized fuzzy sets - fuzzy numbers and a fuzzy linear regression model is described as a fuzzy function with fuzzy numbers as vague regression parameters. To identify the fuzzy coefficients of the model, the genetic algorithm is used. The linear approximation of the vague function together with its possibility area is analytically and graphically expressed. Suitable numerical experiments are performed, namely the task of two-dimensional fuzzy function modelling and the time series fuzzy regression analysis.
  • 关键词:Complex systems; vague property; fuzzy set; fuzzy number; fuzzy linear regression; genetic algorithms; ; possibility area
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