Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Vague sets are intuitionistic fuzzy sets
Fuzzy Sets and Systems
A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
Multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Distances between intuitionistic fuzzy sets
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
Information Sciences—Informatics and Computer Science: An International Journal
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Intuitionistic fuzzy information - Applications to pattern recognition
Pattern Recognition Letters
Clustering algorithm for intuitionistic fuzzy sets
Information Sciences: an International Journal
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and ...
Generalized aggregation operators for intuitionistic fuzzy sets
International Journal of Intelligent Systems
Fuzzy Sets and Systems
Linguistic modelling based on semantic similarity relation among linguistic labels
Fuzzy Sets and Systems
Generalized point operators for aggregating intuitionistic fuzzy information
International Journal of Intelligent Systems
Knowledge and Information Systems
Recent advances in intuitionistic fuzzy information aggregation
Fuzzy Optimization and Decision Making
Induced generalized intuitionistic fuzzy operators
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
An outranking method for multi-criteria decision making with duplex linguistic information
Fuzzy Sets and Systems
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Aggregation operators for linguistic weighted information
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems
Intuitionistic Fuzzy Information Aggregation: Theory and Applications
Intuitionistic Fuzzy Information Aggregation: Theory and Applications
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For multi-criteria group decision making problems with intuitionistic linguistic information, we define a new score function and a new accuracy function of intuitionistic linguistic numbers, and propose a simple approach for the comparison between two intuitionistic linguistic numbers. Based on the intuitionistic linguistic weighted arithmetic averaging ILWAA operator, we define two new intuitionistic linguistic aggregation operators, such as the intuitionistic linguistic ordered weighted averaging ILOWA operator and the intuitionistic linguistic hybrid aggregation ILHA operator, and establish various properties of these operators. The ILOWA operator weights the ordered positions of the intuitionistic linguistic numbers instead of weighting the arguments themselves. The ILHA operator generalizes both the ILWAA operator and the ILOWA operator at the same time, and reflects the importance degrees of both the given intuitionistic linguistic numbers and the ordered positions of these arguments. Furthermore, based on the ILHA operator and the ILWAA operator, we develop a multi-criteria group decision making approach, in which the criteria values are intuitionistic linguistic numbers and the criteria weight information is known completely. Finally, an example is given to illustrate the feasibility and effectiveness of the developed method.