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International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

Nowadays, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a topic that has gained great relevance in today's society. For many years now, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems has captured the attention of people of all ages and interests. Over time, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems has become a recurring topic in daily conversations, as well as in the media and social networks. Whether due to its impact on people's lives, its historical relevance or its importance at a global level, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems has managed to position itself as a topic of general interest. In this article, we will explore in depth the different edges and aspects related to International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, with the aim of offering a broad and complete perspective on this topic that is so relevant today.

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International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
DisciplineComputer science
LanguageEnglish
Edited byBernadette Bouchon-Meunier
Publication details
History1993–present
Publisher
FrequencyBimonthly
1.214 (2016)
Standard abbreviations
ISO 4Int. J. Uncertain. Fuzziness Knowl.-Based Syst.
MathSciNetInternat. J. Uncertain. Fuzziness Knowledge-Based Systems
Indexing
ISSN0218-4885 (print)
1793-6411 (web)
Links

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:

References

  1. ^ Wang, Wanru; Laengle, Sigifredo; Merigó, José M.; Yu, Dejian; Herrera-Viedma, Enrique; Cobo, Manuel J.; Bouchon-Meunier, Bernadette (2018). "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. doi:10.1142/S0218488518500095. ISSN 1793-6411.