School of Mathematical Sciences, Anhui University, Hefei, Anhui 230601, China; Signal and Image Processing Institute, Department of Electrical Engineering, University of Southern California, Los Angeles, CA, 90089, USA
The aim of this paper is to develop the continuous intuitionistic fuzzy ordered weighted distance (C-IFOWD) measure by using the continuous intuitionistic fuzzy ordered weighted averaging (C-IFOWA) operator in the interval distance. We investigate some desirable properties and different families of the C-IFOWD measure. We also generalize the C-IFOWD measure. The prominent characteristics of the C-IFOWD measure are that it is not only a generalization of some widely used distance measure, but also it can deal with interval deviations in aggregation on interval-valued intuitionistic fuzzy values (IVIFVs) by using a controlled parameter, which can decrease the uncertainty of argument and improve the accuracy of decision. The desirable characteristics make the C-IFOWD measure suitable to wide range situations, such as decision making, engineering and investment, etc. In the end, we introduce a new approach to group decision making with IVIFVs in human resource management.
Zhou, L., Jin, F., Chen, H., & Liu, J. (2016). Continuous intuitionistic fuzzy ordered weighted distance measure and its application to group decision making. Technological and Economic Development of Economy, 22(1), 75-99. https://doi.org/10.3846/20294913.2014.984254
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.