Fuzzy set and logic theory suggest that all natural language
linguistic expressions are imprecise and must be assessed as a
matter of degree. But in general membership degree is an imprecise
notion which requires that Type 2 membership degrees be considered
in most applications related to human decision making schemas. Even
if the membership functions are restricted to be Type1, their
combinations generate an interval - valued Type 2 membership. This
is part of the general result that Classical equivalences breakdown
in Fuzzy theory. Thus all classical formulas must be reassessed
with an upper and lower expression that are generated by the
breakdown of classical formulas.
Key features:
- Ontological grounding
- Epistemological justification
- Measurement of Membership
- Breakdown of equivalences
- FDCF is not equivalent to FCCF
- Fuzzy Beliefs
- Meta-Linguistic axioms
- Ontological grounding
- Epistemological justification
- Measurement of Membership
- Breakdown of equivalences
- FDCF is not equivalent to FCCF
- Fuzzy Beliefs
- Meta-Linguistic axioms
General
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