Paper Info
Title
Argumentative SOX compliant and quality decision support intelligent expert system over the suppliers selection process
Abstract
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. Thepresent 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 learningmethod 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.
Year
DOI
Venue
2013
10.1155/2013/973704
Applied Comp. Int. Soft Computing
Keywords
Field
DocType
thepresent sox law,decision support system,quality decision support,argumentation theory knowledge,us company,financial government control,suppliers selection process,sarbanes-oxley act,argumentative sox compliant,intelligent expert system,artificial intelligence,us stock exchange market,control gonvernment bodies decision,fuzzy knowledge
Computer science,Argumentation theory,Risk analysis (engineering),Stock exchange,Artificial intelligence,Globalization,Government,Argumentative,Decision support system,Fuzzy logic,Expert system,Operations research,Machine learning
Journal
Volume
ISSN
Citations 
2013,
1687-9724
0
PageRank 
References 
Authors
0.34
44
3
Name
Order
Citations
PageRank
Jesus Angel Fernandez Canelas100.34
Quintin Martin Martin200.34
Juan Manuel Corchado Rodriguez301.01