Linguistic Approximation and Semantic Adjustment in the Modeling Process

  title={Linguistic Approximation and Semantic Adjustment in the Modeling Process},
  author={E. Fimbel},
  • E. Fimbel
  • Published in IEA/AIE 2000
  • Computer Science
The transcription of data into a discrete representation system (numerical or qualitative) may be inaccurate either because there exist no exact representation or because a concise but inexact description is preferred. This kind of inaccuracy is studied within a general framework using Description Languages, either Qualitative or Numerical. Two principles are stated: 1) the writer always selects a description following a complexity-accuracy tradeoff (Linguistic Approximation Principle); 2) in a… Expand


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  • IEEE Trans. Syst. Man Cybern.
  • 1973
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  • Inf. Control.
  • 1965
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