Organizer: Suman Maity, Department of Mathematics, Raja Narendralal Khan Women’s College (Autonomous), Gopa Palace, Midnapore-721102, West Bengal, India
Email: maitysuman2012@gmail.com
As real-world systems grow in complexity, the ability to model uncertainty and vagueness becomes critical. This symposium serves as a focused forum for researchers and industry practitioners to explore the evolution of fuzzy logic from its foundational roots to modern hybrid frameworks.
The session will delve into Type-2 Fuzzy Sets, Intuitionistic Fuzzy Logic, Dense fuzzy set, Cloudy fuzzy set, Hesitant fuzzy set, Picture fuzzy set, Monsoon Fuzzy set, q-rung orthopair fuzzy set, etc., and the integration of fuzzy systems with Machine Learning and Neural Networks. The primary objective is to highlight how these “modern” fuzzy tools provide robust solutions for decision-making in high-stakes environments such as autonomous systems, supply chain logistics, and environmental modelling. Key discussion points will include:
- Numerical Methods: Improving the efficiency of fuzzy inference systems.
- Hybrid AI: Combining the interpretability of fuzzy logic with the predictive power of deep learning.
- Optimization: Utilizing fuzzy constraints in complex inventory and operations research problems.