Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model

By Yucheng Dong, Yinfeng Xu, Shui Yu. IEEE transactions on fuzzy systems, 2009

339 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/715d51e0bc6fef840bfc1f4e0232ee5985faad2a

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Citations in the corpus

Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making (2014, methodology): “For such cases, Zadeh [51] proposed the fuzzy linguistic approach, which has been extended into several different models, such as the linguistic model based on type-2 fuzzy sets [31], 2-tuple fuzzy linguistic representation model [10,20,21], the proportional 2-tuple model [32], and so on [6].”
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges (2012, methodology): “[32] considered that the key task of the 2-tuple based models [44,114] is the definition of a function that establishes a one to one mapping between the linguistic information and numerical values.”
Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making (2017, methodology): “Different linguistic computational models have been developed for CW [6], [7], such as models based on fuzzy membership functions [8], symbolic models based on ordinal scales [9], models based on type-2 fuzzy sets [10], the 2-tuple linguistic model [11], [12], the proportional 2-tuple linguistic mod”
Computing with Words in Decision support Systems: An overview on Models and Applications (2010, methodology): “Quite recently two new linguistic computational models based on extensions and/or hybridizing with the 2-tuple linguistic representation model have been presented in 19 , 49 .”
Probabilistic linguistic term sets in multi-attribute group decision making (2016, methodology): “A summary on the relative techniques for representing linguistic information Representation model Literature Characteristic Probabilistic information HFLTSs [21] A list of several consecutive terms N/A EHFLTSs [25,39] A list of several terms N/A Proportional linguistic terms [26] A proportion of two”