This paper proposes two different methods of implementing fuzzy logic to improve upon the decision-making and resource allocation during a wildland fire. The problem is based on previous work of implementing neural dynamic programming in the theater-missile defense problem. The scenario was modified to the parameters of a wildland fire and extended to include multiple layers of defense. In addition, three uncertainty cases were introduced with incomplete knowledge of the environment. The control methodologies were critiqued by the remaining health of the assets and the execution time. The neuro-fuzzy dynamic programming and fuzzy-heuristic approaches showed superior results in both certainty and uncertainty cases while being robust to system complexity.