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Journal Photo for International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Peer reviewed only Open Access

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS)

Publisher : World Scientific Publishing Co Pte Ltd
Fuzzy Systems Decision-Making Systems Mathematical Theory
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e-ISSN 1793-6411
p-ISSN 0218-4885
Issue Frequency 8-issues-year
Impact Factor 1.0
Est. Year 2000
Mobile 6564665775
DOI YES
Country Singapore
Language English
APC YES
Impact Factor Assignee SJR
Email francescoflammini@ieee.org

Journal Descriptions

The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators. The journal does not accept papers on direct applications of any methods to deal with uncertainty, such as applications to medicine, agriculture, teaching, cloud computing, wireless sensor, mobile ad hoc networks, image and video processing, and security. It does not either accept papers on pure fuzzy mathematics, such as fuzzy topology or fuzzy algebra.

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Fuzzy Systems, Decision-Making Systems, Mathematical Theory, Machine Learning, Data analysis, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE , Online or Print , 8-issues-year Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0218-4885, E-ISSN: 1793-6411, Established: 2000, Impact Factor: 1.0
  • Provides Crossref DOI

  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of IJUFKS

Deep Learning based Improved Generative Adversarial Network for Addressing Class Imbalance Classification Problem in Breast Cancer Dataset
N. K. Sakthivel June, 2023
The breast cancer diagnosis is one of the challenging tasks of medical field. Especially, the breast cancer diagnosis among younger women (under 40 years old) is more complicated, because th...