Researchers have recognized the importance of semantic expressiveness in understanding and solving complex problems and have identified a need to incorporate reasoning about uncertainty into decision tools that assist business managers. This study extends current approaches and develops new tools to allow artificial mobile assistants to manage rule-driven consultations by capturing and recommending problem solutions through natural language interfaces. A prototype assistant is described to support fuzzy knowledge representations and fuzzy rule-based consultations. The prototype’s application is implemented in a Windows 8 mobile device and applied in a case study of business outsourcing decisions.
Sedbrook, Tod and Cullom, Charmayne
"Supporting Complex Business Decisions with a Fuzzy Mobile Assistant,"
Communications of the IIMA: Vol. 13
, Article 5.
Available at: https://scholarworks.lib.csusb.edu/ciima/vol13/iss4/5