An overview of fuzzy research with bibliometric indicators
JM Merigó, AM Gil-Lafuente, RR Yager - Applied Soft Computing, 2015 - Elsevier
Bibliometrics is a discipline that analyzes bibliographic material from a quantitative
perspective. It is very useful for classifying information according to different variables …
perspective. It is very useful for classifying information according to different variables …
Hesitant fuzzy sets: state of the art and future directions
The necessity of dealing with uncertainty in real world problems has been a long‐term
research challenge that has originated different methodologies and theories. Fuzzy sets …
research challenge that has originated different methodologies and theories. Fuzzy sets …
A historical account of types of fuzzy sets and their relationships
A Historical Account of Types of Fuzzy Sets and Their Relationships Page 1 IEEE
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
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 …
Intuitionistic fuzzy information aggregation using Einstein operations
Aggregation of fuzzy information is a new branch of Atanassov's intuitionistic fuzzy set (AIFS)
theory, which has attracted significant interest from researchers in recent years. In this paper …
theory, which has attracted significant interest from researchers in recent years. In this paper …
Intuitionistic fuzzy geometric aggregation operators based on Einstein operations
Intuitionistic fuzzy information aggregation plays an important part in Atanassov's
intuitionistic fuzzy set theory, which has emerged to be a new research direction receiving …
intuitionistic fuzzy set theory, which has emerged to be a new research direction receiving …
[图书][B] Modeling decisions: information fusion and aggregation operators
V Torra, Y Narukawa - 2007 - books.google.com
Information fusion techniques and aggregation operators produce the most comprehensive,
specific datum about an entity using data supplied from different sources, thus enabling us to …
specific datum about an entity using data supplied from different sources, thus enabling us to …
An overview on subgroup discovery: foundations and applications
Subgroup discovery is a data mining technique which extracts interesting rules with respect
to a target variable. An important characteristic of this task is the combination of predictive …
to a target variable. An important characteristic of this task is the combination of predictive …
Dynamic intuitionistic fuzzy multi-attribute decision making
The dynamic multi-attribute decision making problems with intuitionistic fuzzy information
are investigated. The notions of intuitionistic fuzzy variable and uncertain intuitionistic fuzzy …
are investigated. The notions of intuitionistic fuzzy variable and uncertain intuitionistic fuzzy …
Choquet integrals of weighted intuitionistic fuzzy information
Z Xu - Information Sciences, 2010 - Elsevier
The Choquet integral is a very useful way of measuring the expected utility of an uncertain
event [G. Choquet, Theory of capacities, Annales de l'institut Fourier 5 (1953) 131–295]. In …
event [G. Choquet, Theory of capacities, Annales de l'institut Fourier 5 (1953) 131–295]. In …