TY - JOUR A2 - Huang, Samuel AU - Fernandez Canelas, Jesus Angel AU - Martin Martin, Quintin AU - Corchado Rodriguez, Juan Manuel PY - 2013 DA - 2013/04/28 TI - Argumentative SOX Compliant and Quality Decision Support Intelligent Expert System over the Suppliers Selection Process SP - 973704 VL - 2013 AB - The objective of this paper is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility and quality of the Suppliers Selection Process based on Artificial Intelligence and Argumentation Theory knowledge and techniques. The present SOX Law, in effect nowadays, was created to improve financial government control over US companies. This law is a factor standard out United States due to several factors like present globalization, expansion of US companies, or key influence of US stock exchange markets worldwide. This paper constitutes a novel approach to this kind of problems due to following elements: (1) it has an optimized structure to look for the solution, (2) it has a dynamic learning method to handle court and control gonvernment bodies decisions, (3) it uses fuzzy knowledge to improve its performance, and (4) it uses its past accumulated experience to let the system evolve far beyond its initial state. SN - 1687-9724 UR - https://doi.org/10.1155/2013/973704 DO - 10.1155/2013/973704 JF - Applied Computational Intelligence and Soft Computing PB - Hindawi Publishing Corporation KW - ER -