Results 181 to 190 of about 315 (224)

Prediction of the infecting organism in peritoneal dialysis patients with acute peritonitis using interpretable Tsetlin Machines

Tarasyuk O, Gorbenko A, Eberl M, Topley N, Zhang J, Shafik R, Yakovlev A.   +6 more
europepmc   +1 more source

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On interval fuzzy negations

Fuzzy Sets and Systems, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Benjamin Bedregal
exaly   +3 more sources

Negations on type-2 fuzzy sets

Fuzzy Sets and Systems, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pablo Hernández, Susana Cubillo, Carmen Torres-Blanc   +2 more
exaly   +2 more sources

Ordinal sums of the main classes of fuzzy negations and the natural negations of t-norms, t-conorms and fuzzy implications

International Journal of Approximate Reasoning, 2020
In traditional logic, every statement is either true or false. In real life, people are often not certain about their statements. Zadeh proposed to describe different degrees of certainty by numbers from the interval \([0,1]\); this is one of the main ideas behind \textit{fuzzy logic}.
Benjamin Bedregal, Ivan Mezzomo
exaly   +3 more sources

On n-dimensional strict fuzzy negations

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016
n-dimensional fuzzy sets are an extension of fuzzy sets where the membership values are n-truples of real numbers in the unit interval [0, 1] ordered in increasing order, called n-dimensional intervals. The set of n-dimensional intervals is denoted by L n ([0, 1]).
Ivan Mezzomo, Renata Reiser, Humberto Bustince   +2 more
exaly   +2 more sources

A construction method of semicopulas from fuzzy negations

Fuzzy Sets and Systems, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
I Aguilo, J Süner, Joan Torrens
exaly   +3 more sources

On Intuitionistic fuzzy negations and law for Excluded Middle

2010 5th IEEE International Conference Intelligent Systems, 2010
The basic intutionistic fuzzy negations are given and the relations between the negations and the Law for Excluded Middle are described.
Krassimir Atanassov
exaly   +2 more sources

Moore Continuous n-Dimensional Interval Fuzzy Negations

2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018
n-dimensional fuzzy sets are an generalizing some extensions of fuzzy sets, such as, interval-valued fuzzy sets, interval-valued Atanassov intuitionistic fuzzy sets and fuzzy mul-tisets, where the membership values are n-truples of real numbers in the unit interval [0, 1] ordered in increasing order, called n-dimensional intervals.
Ivan Mezzomo, Benjamin Bedregal
exaly   +2 more sources

On antonym and negate in fuzzy logic

International Journal of Intelligent Systems, 1999
The paper analyses the antonyms in natural language and the possibility to model their meaning using fuzzy set theory. The presentation is extensional, when the meaning of words of natural language is modeled using fuzzy sets being functions on some universe. A specific case is supposed when the universe is formed by an interval of real numbers.
Adolfo R. de Soto, Enric Trillas
openaire   +2 more sources