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Fuzzy Logic Example This example is taken from the second edition of the “Artificial Intelligence: A Guide to Intelligent Systems” book by Michael Negnevistky. The problem is to estimate the level of risk involved in a software engineering project. For the sake of simplicity we will arrive at our conclusion based on two inputs: project funding and project staffing. Step 1 The first step to convert the crisp input into a fuzzy one....