Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
More on intuitionistic fuzzy sets
Fuzzy Sets and Systems
Operators over interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Generalized OWA Aggregation Operators
Fuzzy Optimization and Decision Making
Generalized aggregation operators for intuitionistic fuzzy sets
International Journal of Intelligent Systems
Fuzzy Sets and Systems
Power-geometric operators and their use in group decision making
IEEE Transactions on Fuzzy Systems
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Stability analysis and robustness design of nonlinear systems: An NN-based approach
Applied Soft Computing
Generalized power aggregation operators and their applications in group decision making
Computers and Industrial Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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With respect to multiple attribute group decision making (MADM) problems in which attribute values take the form of intuitionistic linguistic numbers, some new group decision making methods are developed. Firstly, some operational laws, expected value, score function and accuracy function of intuitionistic linguistic numbers are introduced. Then, an intuitionistic linguistic power generalized weighted average (ILPGWA) operator and an intuitionistic linguistic power generalized ordered weighted average (ILPGOWA) operator are developed. Furthermore, some desirable properties of the ILPGWA and ILPGOWA operators, such as commutativity, idempotency and monotonicity, etc. are studied. At the same time, some special cases of the generalized parameters in these operators are analyzed. Based on the ILPGWA and ILPGOWA operators, two approaches to multiple attribute group decision making with intuitionistic linguistic information are proposed. Finally, an illustrative example is given to verify the developed approaches and to demonstrate their practicality and effectiveness.