On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
The ordered weighted averaging operators: theory and applications
The ordered weighted averaging operators: theory and applications
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
An analytic approach for obtaining maximal entropy OWA operator weights
Fuzzy Sets and Systems
Information Sciences—Informatics and Computer Science: An International Journal
Induced uncertain linguistic OWA operators applied to group decision making
Information Fusion
Dependent uncertain ordered weighted aggregation operators
Information Fusion
The induced generalized OWA operator
Information Sciences: an International Journal
Induced and uncertain heavy OWA operators
Computers and Industrial Engineering
Continuous generalized OWA operator and its application to decision making
Fuzzy Sets and Systems
A unified model between the weighted average and the induced OWA operator
Expert Systems with Applications: An International Journal
Uncertain generalized aggregation operators
Expert Systems with Applications: An International Journal
Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On aggregation operators for ordinal qualitative information
IEEE Transactions on Fuzzy Systems
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
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Based on the extended triangular conorm, some new operational laws of linguistic variables are defined. Then a class of new linguistic aggregation operators is developed by extending the OWA operator to the linguistic environment, the uncertain linguistic ordered weighted averaging (ULOWA"f) operator, the induced uncertain linguistic ordered weighted averaging (IULOWA"f) operator and the uncertain linguistic weighted averaging (ULWA"f) operator. Later some desirable properties of the extended operators are studied and a practical group decision making methodology for an uncertain linguistic environment is proposed based on the ULWA"f and the IULOWA"f operators. A numerical example is given to illustrate the new approach for a financial decision making problem.