Supporting Complex Business Decisions with a Fuzzy Mobile Assistant

Authors

Tod Sedbrook, University of Northern Colorado
Charmayne Cullom, University of Northern Colorado

Abstract

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.

Recommended Citation

Sedbrook, Tod and Cullom, Charmayne (2013) "Supporting Complex Business Decisions with a Fuzzy Mobile Assistant," Communications of the IIMA: Vol. 13: Iss. 4, Article 5.
DOI: https://doi.org/10.58729/1941-6687.1227
Available at: https://scholarworks.lib.csusb.edu/ciima/vol13/iss4/5