bibtype C - Conference Paper (international conference)
ARLID 0411236
utime 20240103182312.0
mtime 20060210235959.9
ISBN 7-302-06299-4
title (primary) (eng) Smooth fuzzy logic deduction with words
part_num 2
publisher
place Beijing
name Springer
pub_time 2003
specification
page_count 6 s.
serial
title Proceedings of the International Conference on Fuzzy Information Processing: Theories and Applications
page_num 599-604
editor
name1 Liu
name2 Y.
editor
name1 Chen
name2 G.
editor
name1 Ying
name2 M.
keyword perception-based deduction
keyword evaluating linguistic expressions
keyword approximate reasoning
author (primary)
ARLID cav_un_auth*0101170
name1 Novák
name2 Vilém
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0212605
name1 Perfilieva
name2 I.
country CZ
COSATI 12A
cas_special
research CEZ:AV0Z1075907
abstract (eng) The paper returns to the problem of derivation of a conclusion on the basis of fuzzy IF-THEN rules, which are interpreted as genuine linguistic sentences consisting of evaluating linguistic expressions. Sets of fuzzy IF-THEN rules are called linguistic descriptions. Perceptions are linguistic expressions derived on the basis of observation in a concrete context. They can be used in logical deduction which gives a piecewise continuous function. The paper contains a method for making it smooth.
action
ARLID cav_un_auth*0213130
name Fuzzy Information Processing
place Beijing
country CN
dates 01.03.2003-04.03.2003
RIV BA
department E
permalink http://hdl.handle.net/11104/0131322
ID_orig UTIA-B 20030223
arlyear 2003
mrcbU10 2003
mrcbU10 Beijing Springer
mrcbU12 7-302-06299-4
mrcbU63 Proceedings of the International Conference on Fuzzy Information Processing: Theories and Applications 599 604
mrcbU67 Liu Y. 340
mrcbU67 Chen G. 340
mrcbU67 Ying M. 340