12th International Conference on Artificial Intelligence and Fuzzy Logic Systems (AIFZ 2026)

Scope & Topics

12^th International Conference on Artificial Intelligence and Fuzzy Logic Systems (AIFZ 2026) is a forum for presenting new advances and research results in the fields of Artificial Intelligence and Fuzzy Logic Systems. The conference will bring together leading researchers, engineers, and scientists in the domain of interest from around the world. The scope of the conference covers all theoretical and practical aspects of the Artificial Intelligence and Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.

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.

Topics of interest include, but are not limited to, the following:

Artificial Intelligence Theory and Algorithms
Fuzzy Logic, Approximate Reasoning and Uncertainty Modeling
Type 2 and Higher Order Fuzzy Systems
Neuro Fuzzy and Hybrid Intelligent Systems
Fuzzy Deep Learning and Uncertainty Aware Neural Networks
Hybrid Fuzzy Neuro Evolutionary Models
Fuzzy Optimization, Decision Making and MCDM
Fuzzy Systems Modeling, Identification and Control
Possibility Theory and Imprecise Probability
Knowledge Representation and Reasoning
Generative AI, Diffusion Models and Multimodal Generation
Foundation Models and Large Scale Pretraining
Agentic AI and Autonomous LLM Agents
Multi Agent LLM Systems
Retrieval Augmented Generation (RAG)
Continual, Lifelong and Adaptive Learning
AI Safety, Alignment, Robustness and Trustworthy AI
Causal AI and Causal Representation Learning
Neuro Symbolic AI and Logic Integrated Learning
AI for Scientific Discovery and Symbolic Regression
Machine Learning, Deep Learning and Representation Learning
Pattern Recognition and Fuzzy Pattern Analysis
Data Mining, Knowledge Discovery and Fuzzy Clustering
Graph Machine Learning and Knowledge Graph Reasoning
Information Retrieval, Neural Search and Web Intelligence
Fuzzy Reinforcement Learning and Reward Shaping
Meta Learning and Fuzzy Hyperparameter Optimization
Curriculum Learning and Fuzzy Difficulty Modeling
Computer Vision and Fuzzy Image Understanding
Speech, NLP and Fuzzy Linguistic Modeling
Multimodal AI and Vision Language Models
Fuzzy Transformers and Uncertainty Aware Attention
Semantic Web, Ontologies and Fuzzy Semantic Reasoning
Fuzzy Multimodal Fusion and Cross Domain Reasoning
Robotics, Autonomous Navigation and Fuzzy SLAM
Swarm Intelligence and Multi Agent Fuzzy Systems
Human Robot Collaboration and Fuzzy Trust Modeling
Ambient Intelligence and Context Aware Fuzzy Systems
Fuzzy Decision Making for Autonomous Agents
Parallel, Distributed and Large Scale AI Processing
AI Hardware, Accelerators and Neuromorphic Computing
Efficient AI, Model Compression and Green AI
AI Compilers, Optimization and Runtime Systems
TinyML + Fuzzy Logic for Edge Devices
Edge AI for Real Time Fuzzy Control
Bioinformatics, Computational Biology and Medical AI
Smart Cities, IoT and Cyber Physical Systems
Human Machine Interaction and Adaptive Interfaces
E commerce, Finance and Fuzzy Risk Modeling
Environmental, Climate and Sustainability Modeling
Cybersecurity, Anomaly Detection and Fuzzy Threat Modeling
Fuzzy Intrusion Detection for IoT
Adversarial Fuzzy Defense Mechanisms
Cognitive AI and Neuro Symbolic Reasoning
Fuzzy Modeling for Social Systems and AI for Social Good

Paper Submission

Authors are invited to submit papers through the conference Submission System by August 08, 2026 .

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

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