A 2-tuple fuzzy linguistic representation model for computing with words

By Francisco Herrera, Luis Martínez-López. IEEE transactions on fuzzy systems, 2000

2,739 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/20a579236b1c00a47ad70ba415a2eb95759ac1a0

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Citations in the corpus

Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets (2015, background): “Many different models were proposed to represent and calculate the values of a linguistic variable, such as the semantic model [3], the virtual linguist model [29], the 2-tuple linguistic model [30], and the proportional 2-tuple linguistic model [31].”
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges (2012, methodology): “To avoid such inaccuracy in the retranslation step was introduced: The 2-tuple Linguistic Computational Model [44].”
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”
Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation (2002, background): “Herrera and Martinez [12] have proposed a 2-type fuzzy linguistic representation model for computing with words, which use label indexes (i.”
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning (2011, methodology): “We consider the approach that is proposed in [35], where rules are based on the linguistic two-tuple representation [55].”
Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule (2018, neutral): “[31], [32].”
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].”
Some q‐rung orthopair fuzzy Heronian mean operators in multiple attribute decision making (2018, background): “Any label, 𝑠 𝑖 represents a possible value for a linguistic variable, and it should satisfy the following characteristics 76,77 : (1) The set is ordered: Deﬁnition 13.”
A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets (2013, methodology): “D is a bijective function [13] and D (1):hSi? [0,g] is defined by D (1)(si, a) = i + a.”