A relational framework for approximate reasoning in truth space

Author

Gomide, Fernando ; Pedrycz, Witold

Author_Institution

DCA-FEEC, State Univ. of Campinas, Brazil

Volume

3

fYear

2001

fDate

25-28 July 2001

Firstpage

1604

Abstract

The paper consider a fuzzy inference scheme in the truth space that assumes the i-th rule linguistically qualified, that is, it comes with a truth value of the implication. In contrast to the standard version of modus ponens, the entire inference process is completed at the higher conceptual level formed by the mechanisms of fuzzy logic. The reasoning process invokes three phases: inverse linguistic truth qualification; inference based on fuzzy truth values exploiting the notion of fuzzy implication and the solution of an inverse relational equation; inverse linguistic truth qualification. An immediate application of the approach concerns fuzzy logic control

Keywords

fuzzy logic; inference mechanisms; uncertainty handling; approximate reasoning; fuzzy implication; fuzzy inference; fuzzy logic; fuzzy logic control; fuzzy truth values; inverse linguistic truth qualification; inverse relational equation; truth space; truth value; Bismuth; Equations; Fuzzy logic; Fuzzy reasoning; Inference algorithms; Knowledge representation; Multivalued logic; Qualifications;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.943790

Filename

943790