Investment Decision-making of Behavioral Portfolio Based on IOWA Operator
基于IOWA算子的行为证券组合投资决策研究

It's studied for improving the traditional behavioral portfolio theory (BPT) by dealing with weights of investors' multiple mental accounts. Focusing on fuzzy and stochastic characteristics of investors' multiple mental accounts, weights are described by introducing the ordered weighted averaging (IOWA) operator. Then, it's formed the new BPT model with IOWA operator. The result of case analysis shows it's described accurately of investors' capital optimization process by making certain the weights.