Fuzzy inference in a formal theory of semantic equivalence

Fuzzy inference in a formal theory of semantic equivalence

This work shows how ten different fuzzy implication operators, together with appropriately corresponding versions of four different rules of inference, can be represented within a formal axiomatization of the theory of approximate reasoning. The same formalization methods can also be applied to Zade...

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Veröffentlicht in:Fuzzy sets and systems 1989-06, Vol.31 (2), p.205-216
1. Verfasser: Schwartz, Daniel G.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Approximate reasoning
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
fuzzy inference
Learning and adaptive systems
linguistic hedges
semantic entailment
semantic equivalence
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Zusammenfassung:This work shows how ten different fuzzy implication operators, together with appropriately corresponding versions of four different rules of inference, can be represented within a formal axiomatization of the theory of approximate reasoning. The same formalization methods can also be applied to Zadeh's notion of semantic entailment, as well as to all of the familiar linguistic hedges.
ISSN:0165-0114
1872-6801
DOI:10.1016/0165-0114(89)90004-3