Title :
Toward a logic for fuzzy syllogisms
Author :
Schwartz, Daniel G.
Author_Institution :
Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA
Abstract :
The author describes a formal logic that encodes the reasoning embodied in syllogisms of the form. `Most birds can fly; Tweety is a bird; therefore, it is likely that Tweety can fly,´ and of the form, `Usually, if something is a bird, it can fly; Tweety is a bird; therefore, it is likely that Tweety can fly.´ More exactly, he defines a formal language in which syllogisms of these and related forms can be expressed, and then this language is provided with a rigorously defined semantics in which such syllogisms are valid. In the process a general approach is established to formalize the notions of fuzzy quantification, usuality, and likelihood. Some of the interrelations between these concepts that are expressible in this formalism are also explored
Keywords :
formal languages; fuzzy logic; inference mechanisms; formal language; formal logic; fuzzy quantification; fuzzy syllogisms; likelihood; reasoning; semantics; usuality; Birds; Computer science; Formal languages; Fuzzy logic; Fuzzy sets; Knowledge management; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327461