A fuzzy neural network for identifying changes of degrees of attention in a multi-attribute decision making process

In multi-attribute decision making (DM) process, human beings influenced with various factors often change their evaluations for the alternatives. This paper presents a new approach to identify the changes in a DM process. The new approach uses the fuzzy neural network (FNN) which has been proposed by the authors. The FNN identifies the weights to the attributes with the BP learning. Through experiments, it is shown that the changes of subjects´ decisions can be described by the changes of their weights to the attributes.