On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
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
International Journal of Intelligent Systems
Fuzzy Optimization and Decision Making
Induced uncertain linguistic OWA operators applied to group decision making
Information Fusion
International Journal of Intelligent Systems
Short communication: A novel method for hybrid multiple attribute decision making
Knowledge-Based Systems
Norms induced from OWA operators
IEEE Transactions on Fuzzy Systems
THE FUZZY GENERALIZED OWA OPERATOR AND ITS APPLICATION IN STRATEGIC DECISION MAKING
Cybernetics and Systems
Decision-making in sport management based on the OWA operator
Expert Systems with Applications: An International Journal
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Linguistic modeling by hierarchical systems of linguistic rules
IEEE Transactions on Fuzzy Systems
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
IEEE Transactions on Fuzzy Systems
Group decision making under hesitant fuzzy environment with application to personnel evaluation
Knowledge-Based Systems
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In this paper, we propose an uncertain pure linguistic hybrid harmonic averaging (UPLHHA) operator and a generalized interval aggregation (GIA) operator. In the situations where the information about the attribute weights are interval linguistic labels variables, we develop an approach based on the UPLHHA and the GIA operators for multiple attribute group decision making with uncertain pure linguistic environment. Also, a practical application of the developed approach to the problem of collecting the best option of an investment company is given, and finally, we provide a comparative analysis with other related decision-making methods.