Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Group decision support with the analytic hierarchy process
Decision Support Systems
Fuzzy Sets and Systems
An extended TOPSIS for determining weights of decision makers with interval numbers
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Consistency of 2D and 3D distances of intuitionistic fuzzy sets
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Group decision making with multi-attribute interval data
Information Fusion
Computers and Industrial Engineering
Revisiting the supplier selection problem: An integrated approach for group decision support
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
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.