A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making

By Francisco Herrera, Luis Martínez-López. IEEE Trans. Syst. Man Cybern. Part B, 2001

924 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/90c1fb0777544600b5a422ed6a7943a06d25f1bd

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Citations in the corpus

Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making (2017, methodology): “To deal with decision making problems with multigranular linguistic information, a natural solution is to unify them and derive linguistic information based on the same linguistic term set [36], [37].”
Computing with words in decision making: foundations, trends and prospects (2009, positive): “[47] extend this methodology to deal with multi-granular hierarchical linguistic information using the 2-tuple linguistic model.”
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets (2008, methodology): “As in [19] and [25], we choose as the level of LH used in the representation algorithm, which is associated with the highest granularity label set (HGLS), i.”
Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information (2010, methodology): “[28] Let LH 1⁄4 S t lðt;nðtÞÞ be a linguistic hierarchy whose linguistic term sets are denoted as SnðtÞ 1⁄4 fs 0 ; .”
A 2-tuple fuzzy linguistic representation model for computing with words (2000, positive): “Finally, we should point out that using the 2-tuple fuzzy linguistic representation, we can tackle the problems of multigranularity [9], [10] and combination of linguistic-numerical information [8], [11] in a common context.”
Deviation measures of linguistic preference relations in group decision making (2005, methodology): “Basic notations and operational laws The linguistic approach is an approximate technique, which represents qualitative aspects as linguistic values by means of linguistic variables [14–29].”