Title :
From fuzzy logic to fuzzy truth-valued logic for expert systems: a survey
Author :
De Màntaras, R. López ; Godo, L.
Author_Institution :
Artificial Intelligence Res. Inst., CEAB-CSIC, Blanes, Spain
Abstract :
Fuzzy logic is a logic both of vagueness and of incomplete information in the sense that truth-values can be ill-known and therefore represented by fuzzy subsets of the unit interval, that is, fuzzy truth-values. Truth is not an absolute concept. Fuzzy logic provides a way to represent degrees of certainty. The authors present a comprehensive survey showing that the fuzzy truth-valued approach has the advantage of being independent of the particular possibility distributions associated with the condition and action parts of the rules. An example of reasoning with fuzzy truth-values is given
Keywords :
expert systems; fuzzy logic; fuzzy set theory; inference mechanisms; many-valued logics; degrees of certainty; expert systems; fuzzy truth-valued logic; incomplete information; possibility distributions; reasoning; vagueness; Artificial intelligence; Expert systems; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Inductors; Multivalued logic; Temperature; 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.1993.327536
