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Polynomial lattice equations: the key to fuzzy systems modelling.

Bernard De Baets UGent (2000) CASYS : INTERNATIONAL JOURNAL OF COMPUTING ANTICIPATORY SYSTEMS. 7. p.69-88
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle
publication status
published
subject
journal title
CASYS : INTERNATIONAL JOURNAL OF COMPUTING ANTICIPATORY SYSTEMS
CASYS : int. j. comput. anticip. syst.
volume
7
pages
69-88 pages
publisher
Chaos
place of publication
Liège, Belgium
ISSN
1373-5411
language
English
UGent publication?
yes
classification
A2
id
133713
handle
http://hdl.handle.net/1854/LU-133713
date created
2004-01-14 13:37:00
date last changed
2017-01-02 09:53:35
@article{133713,
  author       = {De Baets, Bernard},
  issn         = {1373-5411},
  journal      = {CASYS : INTERNATIONAL JOURNAL OF COMPUTING ANTICIPATORY SYSTEMS},
  language     = {eng},
  pages        = {69--88},
  publisher    = {Chaos},
  title        = {Polynomial lattice equations: the key to fuzzy systems modelling.},
  volume       = {7},
  year         = {2000},
}

Chicago
De Baets, Bernard. 2000. “Polynomial Lattice Equations: The Key to Fuzzy Systems Modelling.” Casys : International Journal of Computing Anticipatory Systems 7: 69–88.
APA
De Baets, Bernard. (2000). Polynomial lattice equations: the key to fuzzy systems modelling. CASYS : INTERNATIONAL JOURNAL OF COMPUTING ANTICIPATORY SYSTEMS, 7, 69–88.
Vancouver
1.
De Baets B. Polynomial lattice equations: the key to fuzzy systems modelling. CASYS : INTERNATIONAL JOURNAL OF COMPUTING ANTICIPATORY SYSTEMS. Liège, Belgium: Chaos; 2000;7:69–88.
MLA
De Baets, Bernard. “Polynomial Lattice Equations: The Key to Fuzzy Systems Modelling.” CASYS : INTERNATIONAL JOURNAL OF COMPUTING ANTICIPATORY SYSTEMS 7 (2000): 69–88. Print.