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Make man-machine communication easier: fuzzy programming

Journal Article:

Abstract

Procedures and data used by the human brain are not always accurately specified; fuzzy programming may help in the realisation of languages for the manipulation of such fuzzy entities. After having considered fuzzy instruction and its requirements, arguments, functions, predicates and designations, the authors present the outlines of a fuzzy filtering system. Two applications are given as examples; these are the accessing of a database and an expert system which may be used to solve problems in robotics.
Publication Date:
Jun 01, 1982
Product Type:
Journal Article
Reference Number:
EDB-86-007417
Resource Relation:
Journal Name: Nouv. Autom.; (France); Journal Volume: 31
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ARTIFICIAL INTELLIGENCE; PROGRAMMING; DATA BASE MANAGEMENT; EXPERT SYSTEMS; MAN-MACHINE SYSTEMS; PROGRAMMING LANGUAGES; ROBOTS; MANAGEMENT; 990200* - Mathematics & Computers
OSTI ID:
6232127
Research Organizations:
Univ. Paul Sabatier, Toulouse, France
Country of Origin:
France
Language:
French
Other Identifying Numbers:
Journal ID: CODEN: NOAUD
Submitting Site:
HEDB
Size:
Pages: 62-67
Announcement Date:

Journal Article:

Citation Formats

Farreny, H, and Prade, H. Make man-machine communication easier: fuzzy programming. France: N. p., 1982. Web.
Farreny, H, & Prade, H. Make man-machine communication easier: fuzzy programming. France.
Farreny, H, and Prade, H. 1982. "Make man-machine communication easier: fuzzy programming." France.
@misc{etde_6232127,
title = {Make man-machine communication easier: fuzzy programming}
author = {Farreny, H, and Prade, H}
abstractNote = {Procedures and data used by the human brain are not always accurately specified; fuzzy programming may help in the realisation of languages for the manipulation of such fuzzy entities. After having considered fuzzy instruction and its requirements, arguments, functions, predicates and designations, the authors present the outlines of a fuzzy filtering system. Two applications are given as examples; these are the accessing of a database and an expert system which may be used to solve problems in robotics.}
journal = {Nouv. Autom.; (France)}
volume = {31}
journal type = {AC}
place = {France}
year = {1982}
month = {Jun}
}