Fuzzy inference model for the calculation of key performance indicators

Abstract

Business intelligence applications use artificial intelligence techniques more frequently to make predictions, handle uncertainty, and influence organizational decision making. The executive system for monitoring organizational strategies-BIMAS, is a computer solution for performance management and business intelligence, developed and marketed by the Cuban company DESOFT that evaluates the company’s key performance indicators rigorously through ranges defined by users. This evaluation of indicators over time has presented results that sometimes do not conform to reality; being a user-directed evaluation, time intervals have not been considered for it, and what for some, an indicator may be “low”, for others it could be considered “medium” and even “high.” Hence, this work aims to implement a fuzzy inference model that considers objective and subjective aspects that characterize the performance of processes in organizations, choosing in this case as terms for the analysis of the percentage of compliance and Evaluation period of each indicator. It is intended to demonstrate that flexible and close to reality evaluations are obtained with this model, providing decision-makers with reliable information regarding their organizations.