An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges
L Martı, F Herrera - Information Sciences, 2012 - Elsevier
Many real world problems need to deal with uncertainty, therefore the management of such
uncertainty is usually a big challenge. Hence, different proposals to tackle and manage the …
uncertainty is usually a big challenge. Hence, different proposals to tackle and manage the …
An overview of granular computing in decision-making: Extensions, applications, and challenges
The management of uncertainty in decision-making problems remains a very challenging
and timely research issue despite many proposals. An interesting topic in this area in recent …
and timely research issue despite many proposals. An interesting topic in this area in recent …
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based …
In group decision making problems, there exist the situations that decision makers may use
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …
Revisiting fuzzy and linguistic decision making: Scenarios and challenges for making wiser decisions in a better way
E Herrera-Viedma, I Palomares, CC Li… - … on Systems, Man …, 2020 - ieeexplore.ieee.org
This article provides a brief tour through the main fuzzy and linguistic decision-making
trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and …
trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and …
Linguistic Pythagorean fuzzy sets and its applications in multiattribute decision‐making process
H Garg - International Journal of Intelligent Systems, 2018 - Wiley Online Library
In this article, a new linguistic Pythagorean fuzzy set (LPFS) is presented by combining the
concepts of a Pythagorean fuzzy set and linguistic fuzzy set. LPFS is a better way to deal …
concepts of a Pythagorean fuzzy set and linguistic fuzzy set. LPFS is a better way to deal …
Managing multigranular unbalanced hesitant fuzzy linguistic information in multiattribute large-scale group decision making: A linguistic distribution-based approach
With the increase of technological and societal demands, more and more decision makers
are involved in the process of group decision making, which is called large-scale group …
are involved in the process of group decision making, which is called large-scale group …
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information
Two-sided matching decision making (TSMDM) problems exist widely in human being's
daily life. For practical TSMDM problems, matching objects with different culture and …
daily life. For practical TSMDM problems, matching objects with different culture and …
Consensus reaching for MAGDM with multi-granular hesitant fuzzy linguistic term sets: a minimum adjustment-based approach
Due to the uncertainty of decision environment and differences of decision makers' culture
and knowledge background, multi-granular HFLTSs are usually elicited by decision makers …
and knowledge background, multi-granular HFLTSs are usually elicited by decision makers …
Linguistic interval-valued atanassov intuitionistic fuzzy sets and their applications to group decision making problems
In this paper, we propose the concept of a linguistic interval-valued Atanassov intuitionistic
fuzzy set (LIVAIFS), whose membership and nonmembership degrees are represented by …
fuzzy set (LIVAIFS), whose membership and nonmembership degrees are represented by …
Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching
In group decision making (GDM) dealing with Computing with Words (CW) has been
highlighted the importance of the statement, words mean different things for different people …
highlighted the importance of the statement, words mean different things for different people …