Neuro-Fuzzy System for Projects Execution Control Support

Abstract

During execution control to their projects, organizations employ dissimilar tools to assist specialistsin decision -making. In order to achieve a comprehensive evaluation of the project, a set of keyindicators (time, cost, quality, logistics and human resource performance) are examined by applyingsoft computing techniques using fuzzy inference systems. However, sometimes the fuzzy inferencerules that evaluate indicators are constructed from the judgment of experts, which introducesimprecision and vagueness in the boundaries of linguistic concepts. In this paper, a neuro-fuzzysystem for projects execution control support which optimizes the existing rules base efficiently andeffectively is proposed. The potential benefits of the proposal are related with decision-makingimprovement in organizations to projects-oriented production.

Keywords

• control de ejecución de proyectos
• optimización de reglas borrosas
• sistema neuroborroso
• soft computing
• toma de decisiones