A Fuzzy Decision Making Model for Determining Company Profile in Allocation of Public Funding for Industrial Development Projects
In this paper, a model for classifying companies according to size measures is presented along with an application to Chilean industry. Current variables, such as Yearly Net Sales, Number of Workers, and Total Assets, as well as current classification sets, namely Micro-enterprise, Small and Medium sized - Enterprise (SME), and Large-Enterprise, are used. The model was applied on a sample of 330 companies and the results show differences with current classification methods used by a public agency in charge of funding industrial development and research projects. By validating the model against the outcomes of current decision making, a better public's perception of a right classification decision for allocating funds was obtained.