International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

Aims & Scope

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.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	1
2024	1.00

Journal Rank

Year	Value
2024	16168

Journal Citation Indicator

Year	Value
2024	291

SJR (SCImago Journal Rank)

Year	Value
2024	0.315

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	68

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Mathematics, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

  Citation: 5901

  Authors: LATANYA

• The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

  Citation: 2163

  Authors: Sepp

• ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION

  Citation: 1318

  Authors: LATANYA

• A LOGIC FOR UNCERTAIN PROBABILITIES

  Citation: 656

  Authors: AUDUN

• CONSISTENCY IN THE ANALYTIC HIERARCHY PROCESS: A NEW APPROACH

  Citation: 628

  Authors: JOSÉ ANTONIO, M. TERESA

• DEFUZZIFICATION WITHIN A MULTICRITERIA DECISION MODEL

  Citation: 617

  Authors: SERAFIM, GWO-HSHIUNG

• Structure of Uninorms

  Citation: 567

  Authors: János C., Ronald R., Alexander

• AN APPROACH FOR COMBINING LINGUISTIC AND NUMERICAL INFORMATION BASED ON THE 2-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL IN DECISION-MAKING

  Citation: 374

  Authors: F., L.

• AN OVERVIEW OF DISTANCE AND SIMILARITY MEASURES OF INTUITIONISTIC FUZZY SETS

  Citation: 319

  Authors: Z. S., J.

• THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY

  Citation: 286

  Authors: JIYE, ZHONGZHI

---