Results 211 to 220 of about 6,858 (264)

Hybrid feature selection with novel deep learning model for COVID-19 risk prediction. [PDF]

Sci Rep
P GS, Kathiravan M, Shanthi S, Alqahtani MS, Abbas M, Ayalew F.   +5 more
europepmc   +1 more source

A novel nowcasting (estimation) model based on an adaptive network neutrosophic hesitant fuzzy inference system (ANNHFIS): a case study of Istanbul. [PDF]

Sci Rep
Turgut A, Seker S.
europepmc   +1 more source

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The fuzzy saw and fuzzy TOPSIS procedures based on ordered fuzzy numbers

Information Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dariusz Kacprzak
exaly   +3 more sources

Defuzzification Functionals of Ordered Fuzzy Numbers

IEEE Transactions on Fuzzy Systems, 2013
Defuzzification functionals, which play the main role when dealing with fuzzy controllers and fuzzy inference systems, for convex as well for ordered fuzzy numbers, are discussed. Three characteristic conditions for them are formulated. It is shown that most of the known defuzzification functionals satisfy them. Motivations for introducing the extended
Piotr Prokopowicz, Witold Kosiński
exaly   +2 more sources

FUZZY ORDERING OF FUZZY NUMBERS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004
In this paper we are interested in determining the fuzzy ordering, from smallest to largest, of any finite set of fuzzy numbers. We investigate two methods: (1) using a weak fuzzy ordering; and (2) using a strong fuzzy ordering. Employing a strong fuzzy ordering we show that any finite set of fuzzy numbers has a unique ranking from smallest to largest.
James J. Buckley, Esfandiar Eslami
openaire   +1 more source

Fuzzy ordering of fuzzy numbers

2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), 2005
Fuzzy numbers cannot be easily ordered as ordinary real numbers. Several proposals have addressed this problem, each with some drawbacks and limitations. This paper renounces to the idea of finding a universal ordering method for fuzzy numbers and suggests to compute the degree by which an arbitrary permutation of fuzzy numbers is ordered.
Gerardo Canfora, Luigi Troiano
openaire   +1 more source

On ordering fuzzy numbers

International Journal of Intelligent Systems, 2000
Summary: At the heart of many statistical processing algorithms lies the concept of ordering a set of crisp numbers, either according to their own values (``direct'' sorting), or according to the values of a second set of numbers (``indirect'' sorting).
H. B. Mitchell, P. A. Schaefer
openaire   +2 more sources