International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems explained

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Discipline:Computer science
Abbreviation:Int. J. Uncertain. Fuzziness Knowl.-Based Syst.
Editor:Bernadette Bouchon-Meunier
Publisher:World Scientific
Country:Singapore
History:1993-present
Frequency:Bimonthly
Impact:1.214
Impact-Year:2016
Website:http://www.worldscientific.com/worldscinet/ijufks
Issn:0218-4885
Eissn:1793-6411

The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems was founded in 1993[1] and is published bimonthly by World Scientific. It covers research on methodologies for the management of uncertainty. Topics include expositions on methods such as Bayesian and probabilistic methods, nonstandard logic, as well as applications, such as in image processing, conflict resolution, and databases. The journal does not publish papers on pure fuzzy mathematics, such as fuzzy topology or fuzzy algebra.

Abstracting and indexing

The journal is abstracted and indexed in:

Notes and References

  1. A Bibliometric Analysis of the First Twenty-Five Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems . 26 . 2 . 169–193 . 10.1142/S0218488518500095 . 1793-6411. 2018 . Wang . Wanru . Laengle . Sigifredo . Merigó . José M. . Yu . Dejian . Herrera-Viedma . Enrique . Cobo . Manuel J. . Bouchon-Meunier . Bernadette .