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10th International Conference on Fuzzy Logic Systems (Fuzzy 2024)

November 09–10, 2024 | Melbourne, Australia

10th International Conference on Fuzzy Logic Systems (Fuzzy 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and applications of Fuzzy Logic Systems. The Conference looks for significant contributions to all major fields of the Fuzzy Logic Systems in theoretical and practical aspects.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas but are not limited to.

The 10th International Conference on Fuzzy Logic Systems (Fuzzy 2024) served as a premier platform for researchers, engineers, and scholars to share advancements in fuzzy theory and applications. Held alongside DMDBS 2024 in Melbourne, the event highlighted the evolving role of fuzzy logic in areas like artificial intelligence, robotics, decision-making, and control systems.

Key Highlights of Fuzzy 2024

Focus AreaDescription
Foundations of Fuzzy LogicDiscussions on fuzzy set theory, type-2 fuzzy logic, and intuitionistic fuzzy systems
Fuzzy Control SystemsApplication of fuzzy logic in automation, robotics, and adaptive control environments
Soft Computing IntegrationIntegration of fuzzy logic with neural networks, evolutionary algorithms, and rough sets
Decision-Making FrameworksFuzzy-based multi-criteria decision-making models for real-world scenarios
Uncertainty ModelingTechniques for handling vagueness and imprecision in dynamic and complex systems
Applied Case StudiesReal-world examples from manufacturing, medicine, smart systems, and climate modeling

Objectives of the Conference

  • Present theoretical developments in fuzzy mathematics and logic
  • Explore industrial applications of fuzzy inference and control systems
  • Encourage collaboration across disciplines such as AI, cybernetics, and systems engineering
  • Provide a platform for young researchers to showcase their work

Major Themes and Tracks

TrackTopics Covered
Fuzzy Set TheoryExtensions of fuzzy sets, interval type-2 fuzzy logic, hybrid sets
Fuzzy Control and AutomationRule-based control, adaptive fuzzy systems, embedded fuzzy controllers
Fuzzy Decision MakingFuzzy AHP, TOPSIS, decision support under uncertainty
Fuzzy Data MiningClassification, clustering, and rule discovery using fuzzy techniques
Fuzzy Systems in AIKnowledge representation, approximate reasoning, fuzzy expert systems
Hybrid and Soft ComputingIntegration with ANN, GA, PSO, rough sets, and other AI paradigms

Participation and Delegates

CategoryApproximate Number
Academic Researchers200+
Industry Experts100+
Ph.D. Scholars & Postgraduates150+
International Participants75+ from 15+ countries

Invited Talks and Keynotes

Prof. Maria Estevez (Spain) – Fuzzy Systems for Next-Generation Smart Cities
Dr. Hiroshi Yamada (Japan) – Evolving Type-2 Fuzzy Controllers for Autonomous Systems
Prof. Ramesh Patel (India) – Uncertainty Handling in Healthcare through Fuzzy Inference Models

Workshops and Tutorials

  • Fuzzy Logic Toolbox in MATLAB: Hands-on demonstration
  • Building Fuzzy Rule-Based Systems for Decision Support
  • Introduction to Type-2 Fuzzy Sets and Applications
  • Fuzzy Logic in Edge Computing and IoT Environments

Feedback and Outcomes

AspectParticipant Feedback
Technical DepthStrong theoretical foundation with practical application sessions
Interdisciplinary ValueSessions valuable for engineers, mathematicians, and AI experts
Networking OpportunitiesGood mix of senior researchers and early-career participants
Organizing QualitySmooth experience and well-paced agenda

Future Recommendations

  • Develop open-access repository for fuzzy logic papers and tools
  • Launch a student competition on fuzzy controller design
  • Establish a working group for fuzzy systems in sustainability and climate modeling
  • Promote joint publications and collaborative research initiatives post-conference

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