Modelling sequential chess move quality using fuzzy automata, capturing how risk and reward evolve over move sequences rather than isolated moves.
Working on integrating human-like heuristics (material advantage, king safety, mobility, tactical risk) into a fuzzy inference system for nuanced move evaluation.
Also, developing an explainable framework that visualizes automaton state transitions to mirror human reasoning in chess decision-making.