Results 41 to 50 of about 833,189 (326)

Improved uncertainty capture for nonsingleton fuzzy systems [PDF]

, 2016
In non-singleton fuzzy logic systems (NSFLSs), input uncertainties are modelled with input fuzzy sets in order to capture input uncertainty (e.g., sensor noise).
Aladi, JH, Garibaldi, JM, Pourabdollah, A, Wagner, C   +3 more
core   +3 more sources

Extentions of neutrosophic cubic sets via complex fuzzy sets with application

Complex & Intelligent Systems, 2019
In this paper, we propose that the complex neutrosophic cubic set (internal and external) show, which is a blend of complex fuzzy sets, neutrosophic sets, and cubic sets.
M. Gulistan, Salma Khan
semanticscholar   +1 more source

Complex shadowed set theory and its application in decision-making problems

AIMS Mathematics
Modern technology makes it easier to store datasets, but extracting and isolating useful information with its full meaning from this data is crucial and hard.
Doaa Alsharo, Eman Abuteen, Abd Ulazeez M. J. S. Alkouri , Mutasem Alkhasawneh , Fadi M. A. Al-Zubi   +4 more
doaj   +1 more source

Similarity Measures between Temporal Complex Intuitionistic Fuzzy Sets and Application in Pattern Recognition and Medical Diagnosis

Discrete Dynamics in Nature and Society, 2019
This work addresses the issue of similarity measures between two temporal complex Atanassov’s intuitionistic fuzzy sets, many measures of similarity between complex Atanassov’s intuitionistic fuzzy sets.
Mohammed M. Khalaf, Sayer Obaid Alharbi, Wathek Chammam   +2 more
doaj   +1 more source

Types of Complex Fuzzy Relations with Applications in Future Commission Market

Journal of Mathematics, 2021
In this paper, we introduce types of relations on complex fuzzy sets such as the complex fuzzy (CF) inverse relation, complex fuzzy reflexive relation, complex fuzzy symmetric relation, complex fuzzy antisymmetric relation, complex fuzzy transitive ...
Madad Khan, Muhammad Zeeshan, Seok-Zun Song, Sohail Iqbal   +3 more
doaj   +1 more source

A novel complex fuzzy N-soft sets and their decision-making algorithm

Complex & Intelligent Systems, 2021
Complex fuzzy N-soft set (CFN-SS) is an important technique to manage awkward and unreliable information in realistic decision-making problems. CFN-SS is a blend of two separate theories, called N-soft sets (N-SSs) and complex fuzzy sets (CFSs), which ...
T. Mahmood, Ubaid ur Rehman, Zeeshan Ali
semanticscholar   +1 more source

Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning

, 2019
We present ChromAlignNet, a deep learning model for alignment of peaks in Gas Chromatography-Mass Spectrometry (GC-MS) data. In GC-MS data, a compound's retention time (RT) may not stay fixed across multiple chromatograms. To use GC-MS data for biomarker
Li, Mike, Wang, X. Rosalind
core   +1 more source

(Quantum) Space-Time as a Statistical Geometry of Fuzzy Lumps and the Connection with Random Metric Spaces [PDF]

, 2000
We develop a kind of pregeometry consisting of a web of overlapping fuzzy lumps which interact with each other. The individual lumps are understood as certain closely entangled subgraphs (cliques) in a dynamically evolving network which, in a certain ...
Alexandroff P, Bandemer H B, Borissov R, Bronstein I N, Butterfield J, Butterfield J, Demant B, Frechet M, Hausdorff F, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Lowen R, Markopoulou F, Markopoulou F, Menger K, Menger K, Menger K, Misner C W, Nowotny T, Nowotny T, Nowotny T, Nowotny T, Nowotny Th, Poincaré H, Requardt M, Requardt M, Requardt M, Requardt M, Requardt M, Requardt M, Rovelli C, Rovelli C, Roy S, Schweizer B, Schweizer B, Sherwood H, Smolin L, Smolin L, Sorkin R, Sorkin R, Spacek A, Stachel J, Stevens R R, Toffoli T, Wang Z   +49 more
core   +2 more sources

Complex Fuzzy Sets with Application in BCK/BCI-Algebras

Bulletin of the Section of Logic, 2019
As a generation of fuzzy set, the notion of complex fuzzy set which is an innovative concept is introduced by Ramot, Milo, Friedman and Kandel. The purpose of this article is to apply complex fuzzy set to BCK/BCI-algebras.
Y. Jun, X. Xin
semanticscholar   +1 more source

The Orthogonality between Complex Fuzzy Sets and Its Application to Signal Detection

Symmetry, 2017
A complex fuzzy set is a set whose membership values are vectors in the unit circle in the complex plane. This paper establishes the orthogonality relation of complex fuzzy sets.
Bo Hu, Lvqing Bi, Songsong Dai
semanticscholar   +1 more source