Title:
|
Information boundedness principle in fuzzy inference process (English) |
Author:
|
Sarkoci, Peter |
Author:
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Šabo, Michal |
Language:
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English |
Journal:
|
Kybernetika |
ISSN:
|
0023-5954 |
Volume:
|
38 |
Issue:
|
3 |
Year:
|
2002 |
Pages:
|
[327]-338 |
Summary lang:
|
English |
. |
Category:
|
math |
. |
Summary:
|
The information boundedness principle requires that the knowledge obtained as a result of an inference process should not have more information than that contained in the consequent of the rule. From this point of view relevancy transformation operators as a generalization of implications are investigated. (English) |
Keyword:
|
inference |
Keyword:
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fuzzy system modeling |
MSC:
|
03B52 |
MSC:
|
03E72 |
MSC:
|
68T37 |
idZBL:
|
Zbl 1265.68278 |
idMR:
|
MR1944313 |
. |
Date available:
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2009-09-24T19:46:26Z |
Last updated:
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2015-03-25 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/135467 |
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Reference:
|
[1] Dubois D., Prade H.: Properties of measures of information in evidence and possibility theories.Fuzzy Sets and Systems 100 (1999), Supplement, 35–49 MR 1177947 |
Reference:
|
[2] Klir G. J., Bo Y.: Fuzzy Sets and Fuzzy Logic.Theory and Applications. Prentice–Hall, Englewood Cliffs, N. J. 1995 Zbl 0915.03001, MR 1329731 |
Reference:
|
[3] Kolesárová A., Kerre E. E.: Computational rule of inference based on triangular norms.In: Fuzzy If–Then Rules in Computational Inteligence. Theory and Applications (Da Ruan and E. E. Kerre, eds.), Kluwer Academic Publishers, Dordrecht 2000, pp. 61–80 |
Reference:
|
[4] Nelsen R. B.: An Introduction to Copulas.Lecture Notes in Statistics, Springer, Berlin 1999 Zbl 1152.62030, MR 1653203 |
Reference:
|
[5] Šabo M., Kolesárová, A., Varga Š.: RET operators generated by triangular norms and copulas.Internat. J. Uncertainty and Knowledge–Based Systems 9 (2001), 2, 169–181 Zbl 1113.68504, MR 1821986, 10.1142/S0218488501000715 |
Reference:
|
[6] Yager R. R.: Global requirements for implication operators in fuzzy modus ponens.Fuzzy Sets and Systems 106 (1999), 3–10 Zbl 0931.68117, MR 1689566 |
Reference:
|
[7] Yager R. R.: Uninorms in fuzzy modeling.Fuzzy Sets and Systems 122 (2001), 167–175 MR 1839955, 10.1016/S0165-0114(00)00027-0 |
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