A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets

By Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera. Information Sciences, 2013

542 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d1f51a913c6c6641f402a7426f908a5daa067894

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Citations in the corpus

Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, background): “Linguistic variables have been studied in depth and used in many fields [19,33,35,42,50,60,73,78].”
Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets (2015, background): “[12] developed a new linguistic group decision making model which deals with comparative linguistic expressions that are similar to those used by the experts in real-world decision making problems.”
Hesitant Fuzzy Sets: State of the Art and Future Directions (2014, unknown): “D EFINITION 22 35 .”
A Historical Account of Types of Fuzzy Sets and Their Relationships (2016, methodology): “2) Recently, HFSs have been used in group decision making problems [123] and extended to computing with words [121], [122].”
Probabilistic linguistic term sets in multi-attribute group decision making (2016, background): “[23] developed a GDM model which deals with comparative linguistic expressions based on HFLTSs.”
A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making (2014, methodology): “Different operators and models [23, 24] have been introduced to operate on such linguistic intervals by a symbolic model that finally obtains crisp values, losing the initial fuzzy representation.”
Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making (2017, background): “use linguistic assessments instead of numerical values [3], [4].”