Computing with descriptive and veristic words: knowledge representation and approximate reasoning

@article{Turksen1999ComputingWD,
  title={Computing with descriptive and veristic words: knowledge representation and approximate reasoning},
  author={L. Turksen},
  journal={FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)},
  year={1999},
  volume={1},
  pages={6-10 vol.1}
}
  • L. Turksen
  • Published 1999 in
    FUZZ-IEEE'99. 1999 IEEE International Fuzzy…
Knowledge representation is essentially composed of (1) rule pattern extraction and (2) selection of propositional formulas that represents the rule pattern extracted in propositional forms. Approximate reasoning on the other hand is also composed of (l) selection of propositional formulas and (2) choice of inference schemas such as interpolative reasoning or compositional rule of inference and/or combination of both. Rule patterns can either be extracted from experts via subjective interviews… CONTINUE READING
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