Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
Towards general measures of comparison of objects
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A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
Linguistic modifiers in a symbolic framework
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Generalized Modifiers as an Interval Scale: Towards Adaptive Colorimetric Alterations
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences—Informatics and Computer Science: An International Journal
Manipulation of qualitative degrees to handle uncertainty: formal models and applications
Knowledge and Information Systems
Is there a need for fuzzy logic?
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Aggregation operators for linguistic weighted information
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
IEEE Transactions on Fuzzy Systems
On the relation between Compromise Programming and Ordered Weighted Averaging operator
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
A linguistic evaluation approach for universal design
Information Sciences: an International Journal
On weighted unbalanced linguistic aggregation operators in group decision making
Information Sciences: an International Journal
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The need of computing with words has become an important topic in many areas dealing with vague information. The aim of this paper is to present different tools which support computing with words. Especially, we are concerned with the weighted aggregation of linguistic term sets, whose results are just the words themselves without using the fuzzy numbers that represent the semantics of their linguistic terms. We propose a new aggregation operator, referred to as the symbolic weighted median that computes the most representative element from an ordered collection of weighted linguistic terms. This operator aggregates the linguistic labels such that its result is expressed in terms of the initial linguistic term set though is modified by using dedicated tools called the generalized symbolic modifiers. One advantage of this proposal is that the expression domain does not change: we increase or decrease the granularity only where it becomes necessary. Additionally this new operator exhibits several interesting mathematical properties.