A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets

By Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López. IEEE transactions on fuzzy systems, 2008

569 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/c2ee42258b28864c83e3861387138d76119a70bd

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Citations in the corpus

Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model (2009, background): “[20] and Herrera-Viedma and López-Herrera [28] also developed an interesting methodology to deal with decision problems using unbalanced linguistic information.”
An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context (2009, methodology): “This approach has been successfully applied to different problems [2], [3], [6], [20], [22], [29], [30], [34], [36], [43], [56], [63].”
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges (2012, methodology): “Therefore, we consider that after more than ten years time that the 2-tuple linguistic representation model was presented, it would be very interesting to make an overview about this model, paying attention to the necessity and foundations of the model [44,45], methodologies for CW in complex framew”
Computing with words in decision making: foundations, trends and prospects (2009, background): “In [ 42 ] a model based on linguistic hierarchies was presented to deal with this kind of situations.”
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks (2010, background): “– Finally, in [6], a soft consensus model is presented for GDM problems in a unbalanced fuzzy linguistic context [17,24].”
Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making (2014, background): “In many cases, however, uncertainty is produced by the vagueness of meanings whose nature is qualitative rather than quantitative [4,8,9,24].”
Hesitant Fuzzy Linguistic Term Sets for Decision Making (2012, methodology): “This decision model manages such linguistic expressions by its representation using HFLTS.”
Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information (2010, methodology): “However, there exist problems that need to assess their variables with linguistic term sets that are not uniformly and symmetrically distributed [21,33].”