(Fuzzy: fuzzy logic; DM: numerical simulation and geometry) the underlying principal is strikingly similar: the likelihood of a positive payoff. Separately examining the two factors (possibility/probability, and positive payoff) demonstrates this similarity. The possibility function for the fuzzy pay-off is . A simple interpretation is the proportionality ratio of the positive area of the fuzzy NPV over the total area of the fuzzy NPV. The probability of the project payoff for the DM Range Option is proportional to the area (CDF) of the positive distribution relative to the complete distribution. This is computed as In each the ratios of the areas compute to the same possibility/probability value. The positive payoff of fuzzy pay-off simply is the mean of the positive area of the fuzzy NPV, or . Likewise, the positive payoff for the DM Range Option is the mean of the right tail (MT), or less the strike price This insight to the mechanics of the two methods illustrates not only their similarity but also their equivalency. In a 2016 article in the Advances in Decision Sciences journal, researchers from the Lappeenranta University of Technology School of Business and Management compared the DM Method to the fuzzy pay-off method for real option valuation and noted that while the valuation results were similar, the fuzzy pay-off one was more robust in some conditions. In some comparative cases, the Datar-Mathews Method has a significant advantage in that it is easier to operate and connects NPV valuation and scenario analysis with Monte Carlo simulation (or geometry) technique thus greatly improving intuition in the usage of real options methods in managerial decision and explanation to third parties. Through its simulation interface, the Datar-Mathews Method easily accommodates multiple and sometimes correlated cash flow scenarios, including dynamic programming, typical of complex projects, such as aerospace, that are difficult to model using fuzzy sets. DM Method and Prospect Theory Real options are about objectively valuing innovation opportunities. Vexingly, these opportunities, evanescent and seemingly risky, are often comprehended subjectively. However, both the objective valuation mechanism and the subjective interpretation of results are often misunderstood leading to investment reluctance and potentially undervaluing opportunities. The DM real option employs the objective valuation formula where is the default threshold when it is economically rational to terminate (abandon) an opportunity event. If a simulation event (‘draw’) calculates a negative outcome (i.e., operating profits less than launch costs), then that event outcome should