The adaptive model is based on the assumption that you can learn and improve from your actions and outcomes to make a more flexible and responsive choice. It involves defining the problem and objectives, experimenting and iterating solutions, observing and measuring results, adjusting and optimizing the decision, and implementing and monitoring the decision. This model is ideal for dynamic, complex, and uncertain problems or when needing to innovate and adapt to changing conditions. However, it may not work well for stable, simple, and predictable problems where you may waste time, resources, or opportunities. When selecting a decision making model for your project, you must consider the nature and scope of the problem, the available information and resources, the expected outcomes and impacts, as well as your own preferences and style. By understanding the strengths and limitations of each model, you can choose the one that best suits your project.