Revistes Catalanes amb Accés Obert (RACO)

Testing satistical hipotheses in fuzzy environment

Przemyslaw Gregorzewski, Olgierd Hryniewicz

Resum


In traditional statistics all parameters of the mathematical model and
possible observations should be well defined. Sometimes such assumption
appears too rigid for the real-life problems, especially while dealing with
linguistic data or imprecise requirements. To relax this rigidity fuzzy
methods are incorporated into statistics. We review hitherto existing
achievements in testing statistical hypotheses in fuzzy environment, point
out their advantages or disadvantages and practical problems. We propose
also a formalization of that decision problem and indicate the directions of
further investigations in order to construct a more general theory.

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