Fast operations on fuzzy sets in the abstract Fril machine

Author

Baldwin, J.F. ; Martin, T.P.

Author_Institution

Adv. Comput. Res. Centre, Bristol Univ., UK

fYear

1992

fDate

8-12 Mar 1992

Firstpage

803

Lastpage

810

Abstract

Fril is an artificial intelligence programming language that incorporates a powerful mechanism for handling uncertainty using Baldwin´s support logic and it is implemented as a compiler producing code for an abstract machine. The authors outline the features of the abstract machine which deal with uncertainty in the value of a specific parameter. Fril handles possibility distributions as fundamental data types. Algorithms used to achieve fast operations on these objects are discussed. These operations include standard fuzzy set combinations, basic arithmetic operations, and the generalization of unification to allow partial matching

Keywords

abstract data types; fuzzy set theory; logic programming languages; program compilers; uncertainty handling; Baldwin´s support logic; abstract Fril machine; abstract data types; artificial intelligence programming language; compiler; fundamental data types; fuzzy sets; logic programming languages; partial matching; possibility distributions; uncertainty handling; unification; Arithmetic; Artificial intelligence; Computer languages; Fuzzy logic; Fuzzy sets; Inference algorithms; Interpolation; Logic programming; Probabilistic logic; Program processors; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1992., IEEE International Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0236-2

Type

conf

DOI

10.1109/FUZZY.1992.258762

Filename

258762