Design and implementation of a fuzzy MISO system with quantum computing analogies

This study introduces a hybrid methodology combining classical fuzzy logic systems with quantum computing principles to design a Multiple Input Single Output, abbreviated as FQMISO system. The proposed method leverages the strengths of both paradigms: the interpretability of fuzzy logic and the parallelism of quantum computing. By transforming fuzzy membership functions into quantum states and using quantum operators for aggregation, a computationally efficient framework for decision-making processes is obtained. This technique offers advantages over traditional methods, including faster processing and greater flexibility in handling uncertainty. The protocol is validated through numerical modeling, demonstrating its applicability in real-world scenarios.