Model of adaptation under indeterminacy
Kybernetika (2011)
- Volume: 47, Issue: 3, page 356-369
- ISSN: 0023-5954
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topKlimeš, Cyril. "Model of adaptation under indeterminacy." Kybernetika 47.3 (2011): 356-369. <http://eudml.org/doc/196764>.
@article{Klimeš2011,
abstract = {Information retrieval in information systems (IS) with large amounts of data is not only a matter of an effective IS architecture and design and technical parameters of computer technology used for operation of the IS, but also of an easy and intuitive orientation in a number of offers and information provided by the IS. Such retrievals in IS are, however, frequently carried out with indeterminate information, which requires other models of orientation in the environment of the IS.},
author = {Klimeš, Cyril},
journal = {Kybernetika},
keywords = {information retrieval; fuzzy sets; modelling of information systems under indeterminacy; adaptive model; fuzzy sets; information retrieval; modelling of information systems under indeterminacy; adaptive model},
language = {eng},
number = {3},
pages = {356-369},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Model of adaptation under indeterminacy},
url = {http://eudml.org/doc/196764},
volume = {47},
year = {2011},
}
TY - JOUR
AU - Klimeš, Cyril
TI - Model of adaptation under indeterminacy
JO - Kybernetika
PY - 2011
PB - Institute of Information Theory and Automation AS CR
VL - 47
IS - 3
SP - 356
EP - 369
AB - Information retrieval in information systems (IS) with large amounts of data is not only a matter of an effective IS architecture and design and technical parameters of computer technology used for operation of the IS, but also of an easy and intuitive orientation in a number of offers and information provided by the IS. Such retrievals in IS are, however, frequently carried out with indeterminate information, which requires other models of orientation in the environment of the IS.
LA - eng
KW - information retrieval; fuzzy sets; modelling of information systems under indeterminacy; adaptive model; fuzzy sets; information retrieval; modelling of information systems under indeterminacy; adaptive model
UR - http://eudml.org/doc/196764
ER -
References
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