Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
The problem of linguistic approximation in clinical decision making
International Journal of Approximate Reasoning
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
Benchmarking in linguistic importance weighted aggregations
Fuzzy Sets and Systems
Generalized chi square method for the estimation of weights
Journal of Optimization Theory and Applications
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Information Sciences—Informatics and Computer Science: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A linguistic modeling of consensus in group decision making basedon OWA operators
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
Linguistic modeling by hierarchical systems of linguistic rules
IEEE Transactions on Fuzzy Systems
A fuzzy model to evaluate the suitability of installing an enterprise resource planning system
Information Sciences: an International Journal
Consolidating SWOT analysis with nonhomogeneous uncertain preference information
Knowledge-Based Systems
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In this paper, we study the group decision-making problem in which the preference information given by experts takes the form of uncertain additive linguistic preference relations. We define the concept of uncertain additive linguistic preference relation, and introduce a formula based on possibility measure for comparing two uncertain linguistic preference values. We introduce some aggregation operators such as the uncertain linguistic averaging (ULA) operator and uncertain linguistic weighted averaging (ULWA) operator, etc. Based on the ULA and ULWA operators, we develop a direct approach to group decision making with uncertain additive linguistic preference relations without loss of information. Finally, an illustrative numerical example is given to verify the developed approach.