ABSTRACT
The interest in knowing the future is transversal to all disciplines in the face of the need to reduce uncertainty. Projecting into the future is part of the highest levels of maturity of organizations, as it requires sophisticated statistical methods. It is in this sense that Chapter 3 presents the Fuzzy Time Series (FTS) for the forecast of data series. FTS is a methodology that comes from Artificial Intelligence because it simulates approximate thinking through fuzzy sets. It presents the traditional methodologies that come from statistics and demography, and the non-traditional ones that come from areas such as engineering, to encourage the reader to open up to new perspectives. Different from the research in the field, FTS is applied to forecast the data series of the Global Entrepreneurship Rate (GER) estimated based on data from the Global Entrepreneurship Monitor of Colombia, 2008 to 2017. The method proved to be robust when modeling the nonlinear behavior of the GER and the results are consistent. The projection of 2017 to 2025 of the GER shows stable behavior around two ventures per adult aged 18 to 64 years.
