Choquet integrals of weighted intuitionistic fuzzy information
Information Sciences: an International Journal
Multiple attribute group decision making models under fuzzy number intuitionistic fuzzy environment
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Recent advances in intuitionistic fuzzy information aggregation
Fuzzy Optimization and Decision Making
Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets
Expert Systems with Applications: An International Journal
Induced generalized intuitionistic fuzzy operators
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Ranking of interval-valued intuitionistic fuzzy sets
Applied Soft Computing
Information Sciences: an International Journal
Fuzzy Optimization and Decision Making
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Mathematical and Computer Modelling: An International Journal
Journal of Computer and System Sciences
Computers & Mathematics with Applications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The notion of interval-valued intuitionistic fuzzy set (IVIFS) was introduced by Atanassov and Gargov [1] as a generalization of an intuitionistic fuzzy set [2]. The fundamental characteristic of IVIFS is that the values of its membership function and non-membership function are intervals rather than exact numbers. Some operators have been proposed for aggregating intuitionistic fuzzy sets. However, it seems that there is little investigation on aggregation techniques for dealing with interval-valued intuitionistic fuzzy information. In this work, we develop some interval-valued intuitionistic fuzzy geometric operators, such as the interval-valued intuitionistic fuzzy ordered weighted geometric (IIFOWG) operator, and interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator, etc., which are the generalizations of the geometric aggregation operators based on intuitionistic fuzzy sets [3]. Then we apply the developed operators to solve a multiple attribute decision-making problem involving the prioritization of a set of information technology improvement projects.