This paper proposes a multitarget prediction approach using a new type of sphere complex fuzzy sets. The proposed model can adjust the number of outputs depending on the application. Moreover, a corresponding feature selection algorithm based on influence information and selection gain is proposed to solve the problem of cross-target feature selection in multitarget prediction. The proposed approach is tested using three experiments. The experimental results reveal that the model can predict at least four targets simultaneously and that the proposed feature selection algorithm can, in most cases, quickly determine a favorable feature combination.
|頁（從 - 到）||45-57|
|期刊||Engineering Applications of Artificial Intelligence|
|出版狀態||已出版 - 3月 2019|