Conference Information

FUZZ-IEEE 2027: International Conference on Fuzzy Systems

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Submission Date:
2027-01-15 Due in 90 days
Notification Date:
2027-04-01
Conference Date:
2027-07-10
Location:
Sydney, Australia
Years:
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ICORE: B   QUALIS: A2   Viewed: 82106   Tracked: 11   Attend: 3
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FUZZ-IEEE
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Conference Partner Index (CP-I)

73.6 / 100
Ranked #282 of 5,721 conferences · Top 5%

#24 of 743 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
92
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
97
Community attention (10%)
37
Public record completeness (15%)
55

Inputs used: Listed as ICORE B, QUALIS A2 · Editions on record: 36 · Researchers following it here: 11 · Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-17

Call For Papers

FUZZ-IEEE 2027 (International Conference on Fuzzy Systems) is a ICORE B / QUALIS A2 conference held in Sydney, Australia on 2027-07-10. The paper submission deadline is 2027-01-15. Acceptance notifications are sent on 2027-04-01.

The Annual IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) is one of the premier international conferences in the field of fuzzy sets and systems. FUZZ-IEEE 2027 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all aspects of theory and applications in fuzzy sets theory and hybridizations with other artificial and computational intelligence techniques. In particular, FUZZ-IEEE 2027 topics include, but are not limited to: Topics of Interest Fuzzy machine learning Fuzzy human-computer interaction Fuzzy sets and logic fundamental development Fuzzy reasoning and knowledge representation Fuzzy image, speech and signal processing, vision and multimedia Fuzzy systems design, modeling, identification, fault detection Fuzzy data analysis, clustering and classifiers, pattern recognition, bio-informatics Fuzzy optimization, decision analysis and decision making Fuzzy information extraction and retrieval, fusion, text mining Fuzzy systems with big data and cloud computing Fuzzy data analytics and visualization Soft computing and rough sets Fuzzy system in social sciences and natural language processing Adaptive, hierarchical and hybrid (neuro- and evolutionary-) fuzzy systems Hybrid systems of computational intelligence techniques Fuzzy system applications in finance, health, transportation, manufacture, agriculture and other industry sectors Trustworthy human-machine interface and brain-computer interface Trustworthy machine learning under uncertainty Reasoning under uncertainty Machine learning in dynamic environments Explainable AI in non-stationary environments Causal learning and reasoning in complex systems Continual (lifelong) learning in evolving systems Safe and reliable AI systems in real-world settings Robust optimisation for real-time intelligent systems Uncertainty quantification in machine learning and AI models Multi-agent learning in stochastic environments Resilient AI for real-time and mission-critical applications Computational intelligence for resilient and adaptive cybersecurity in evolving cyber-physical systems
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