Bayesian graphical models provide a principled framework for representing complex dependency structures among multivariate variables by combining graph theory with probabilistic inference. In these ...
Neutrosophic decision-making models extend classical fuzzy and intuitionistic fuzzy frameworks by explicitly quantifying truth, indeterminacy and falsity degrees for each element of information. This ...