Bayesian fuzzy kriging

  • Authors:

  • Hans Bandemer;Albrecht Gebhardt

  • Affiliations:

  • Freiberg University of Mining and Technology, Institute of Stochastics, D-09596 Freiberg (Sachs), Germany;University of Klagenfurt, Institute of Mathematics and Statistics, Department of Applied Statistics, A-9020 Klagenfurt, Austria

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2000

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Abstract

The paper contains a combination of two approaches generalising the usual kriging technique for prediction in fields: the Bayesian approach incorporating prior knowledge on the field and the fuzzy set approach reflecting uncertainty w.r.t. observation impreciseness and specification vagueness. The presentation includes a numerical example.