Application of The Agent-oriented Analysis to A Software System in Problem Cause Identification using Fuzzy Decision Tree
Rui-Yang Chen · Artificial Intelligence and Applications · 2014
A problem cause identification software system is usually very complex and may contain multiroles dealing processes such as R&D, customer and manufacturing. The causes of a problem may have cognitive uncertainty properties, which need to be analyzed for the purpose of algorithm-based automatic problem-solving. In this study, an application of the scenario-driven agent-oriented analysis to a software system in problem cause identification is proposed. A case study is conducted to demonstrate the problem-solving algorithm for problem cause identification of a notebook computer product. The major contributions of this research include: (1) The proposal of an autonomous problem-solving system base on a scenario-driven agent-oriented approach. (2) The proposal of a complex system of problem cause identification based on the fuzzy data.