Deriving decision maker's weights based on distance measure for interval-valued intuitionistic fuzzy group decision making

The purpose of this paper is to develop a new approach for measuring the decision makers' weights in group decision making setting, in which the decision information, provided by multiple decision makers, is expressed in interval-valued intuitionistic fuzzy numbers. There are two key issues being addressed in this approach. The first one is to develop an ideal decision of group, which is the mean of group decision. The second one is to select the similarity measure between each individual decision and the ideal decision according to the idea of the TOPSIS of Hwang and Yoon (1981). A numeric example is also given to clarify the developed approach and to demonstrate its effectiveness. (C) 2011 Elsevier Ltd. All rights reserved.