Neuro-fuzzy classification for the job assignment problem
Arpad Kelemen, Róbert Kozma, Yulan Liang · 2003
We propose to use an adaptive neuro-fuzzy inference system (ANFIS) in order to optimize decision making for the job assignment problem of the US Navy. Results need to be considered carefully because of the high noise level naturally present in the data coming from human decisions. We describe how the data was acquired and preprocessed. The design issues of the ANFIS are discussed.