On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends

JA Morente-Molinera, IJ Pérez, MR Ureña… - Knowledge-Based …, 2015 - Elsevier
The multi-granular fuzzy linguistic modeling allows the use of several linguistic term sets in
fuzzy linguistic modeling. This is quite useful when the problem involves several people with …

Modeling complex linguistic expressions in qualitative decision making: An overview

H Wang, Z Xu, XJ Zeng - Knowledge-Based Systems, 2018 - Elsevier
The increasing complexity of real-world problems drives the experts to consider complex
linguistic expressions instead of single linguistic terms to represent their linguistic opinions …

A new linguistic computational model based on discrete fuzzy numbers for computing with words

S Massanet, JV Riera, J Torrens, E Herrera-Viedma - Information Sciences, 2014 - Elsevier
In recent years, several different linguistic computational models for dealing with linguistic
information in processes of computing with words have been proposed. However, until now …

Some interesting properties of the fuzzy linguistic model based on discrete fuzzy numbers to manage hesitant fuzzy linguistic information

JV Riera, S Massanet, E Herrera-Viedma… - Applied Soft Computing, 2015 - Elsevier
The management of hesitant fuzzy information is a topic of special interest in fuzzy decision
making. In this paper, we focus on the use and properties of the fuzzy linguistic modelling …

Estimation of a fuzzy regression model using fuzzy distances

AFRL de Hierro, J Martínez-Moreno… - … on Fuzzy Systems, 2015 - ieeexplore.ieee.org
Regression analysis is a powerful statistical tool that has many applications in different
areas. The problem of regression analysis under a fuzzy environment has been treated in …

Total orders of extended hesitant fuzzy linguistic term sets: definitions, generations and applications

H Wang, Z Xu - Knowledge-Based Systems, 2016 - Elsevier
Extended hesitant fuzzy linguistic term sets (EHFLTSs) are helpful to model uncertain
linguistic information in qualitative group decision making (QGDM). Total orders are …

A new approach to Zadeh's Z-numbers: Mixed-discrete Z-numbers

S Massanet, JV Riera, J Torrens - Information Fusion, 2020 - Elsevier
One of the main goals of computing with words is the accurate modeling of natural
language. In this direction, Z-numbers were introduced by Zadeh in 2011 as a pair of fuzzy …

[HTML][HTML] A fuzzy regression model based on finite fuzzy numbers and its application to real-world financial data

G Alfonso, AFRL de Hierro, C Roldán - Journal of Computational and …, 2017 - Elsevier
Different sources of imprecision and uncertainty are encountered in practical problems and,
thus, many elements may need to be imprecisely observed, defined or treated. In this setting …

Linguistic scale consistency issues in multi-granularity decision making contexts

S Zhao, Y Dong, S Wu, L Martínez - Applied Soft Computing, 2021 - Elsevier
The symbolic model based on the linguistic scale has been widely used to represent
linguistic knowledge to deal with various linguistic decision problems. However, linguistic …

Discrete overlap functions: basic properties and constructions

J Qiao - International Journal of Approximate Reasoning, 2022 - Elsevier
As a kind of emerging binary continuous aggregation operator that has been successfully
applied in many practical application problems, overlap functions on the unit closed interval …