This paper reviews analytical approaches from the decision and risk sciences as a basis for developing a model for decomposing and reconstructing large-fire decision processes that leads to a better understanding of how fire management can be modified and improved. The approaches reviewed include event/fault tree analysis, influence diagrams, decision analysis, multiattribute utility analysis (MAU), and other models based on decision process tracing methodologies. Based on this review, the paper develops a preliminary model for incident decomposition and reconstruction based on the concept of an “Event-Frame Model” by which a sequential set of “Event Frames” are defined by temporal and contextual factors, and that lead to a visual representation of an incident decomposition. The set of event frames decomposes an incident into discrete units of analysis that can incorporate other models or processes to describe elements of a fire incident. Discrete event frames can incorporate a decision analysis model that represents alternatives, objectives, and consequences present at a particular point in a fire incident, where the point can be defined temporally (e.g., a given time mark) or contextually as defined by an event-frame trigger (e.g., a management team transition). The choice of temporal and contextual elements that establish a sequence of event frames for an incident are in part a function of incident characteristics and in part a function of the granularity needed for the decomposition. The Event-Frame Modeling approach provides a visual representation by which complex incidents can be decomposed into analyzable units that aid in the identification of factors contributing to resource allocations and incident costs.