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General type-2 fuzzy logic systems made simple: a tutorial
JM Mendel - IEEE Transactions on Fuzzy Systems, 2013 - ieeexplore.ieee.org
The purpose of this tutorial paper is to make general type-2 fuzzy logic systems (GT2 FLSs)
more accessible to fuzzy logic researchers and practitioners, and to expedite their research …
more accessible to fuzzy logic researchers and practitioners, and to expedite their research …
A review of quantum-behaved particle swarm optimization
Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm and it
has attracted a large number of widespread researchers. As a branch of PSO, a probabilistic …
has attracted a large number of widespread researchers. As a branch of PSO, a probabilistic …
[LIBRO][B] Particle swarm optimisation: classical and quantum perspectives
Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters
and is computationally simple and easy to implement, it is not a globally convergent …
and is computationally simple and easy to implement, it is not a globally convergent …
Partitioned-cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation
In this paper, in order to search the global optimum solution with a very fast convergence
speed across the whole search space, we propose a partitioned and cooperative quantum …
speed across the whole search space, we propose a partitioned and cooperative quantum …
A hybrid quantum-induced swarm intelligence clustering for the urban trip recommendation in smart city
The development of internet technologies has brought digital services to the hands of
common man. In the selection process of relevant digital services to the active target user …
common man. In the selection process of relevant digital services to the active target user …
Applications of quantum inspired computational intelligence: a survey
This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …
QPSO algorithm based on Lévy flight and its application in fuzzy portfolio
X Lu, G He - Applied soft computing, 2021 - Elsevier
To solve constrained portfolio selection model effectively, an improved quantum-behaved
particle swarm optimization algorithm (LQPSO) is presented. Firstly, considering its …
particle swarm optimization algorithm (LQPSO) is presented. Firstly, considering its …
A modified Fuzzy C-Means (FCM) Clustering algorithm and its application on carbonate fluid identification
L Liu, SZ Sun, H Yu, X Yue, D Zhang - Journal of Applied Geophysics, 2016 - Elsevier
Considering the fact that the fluid distribution in carbonate reservoir is very complicated and
the existing fluid prediction methods are not able to produce ideal predicted results, this …
the existing fluid prediction methods are not able to produce ideal predicted results, this …
Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization
Microarray technology has been widely applied in study of measuring gene expression
levels for thousands of genes simultaneously. In this technology, gene cluster analysis is …
levels for thousands of genes simultaneously. In this technology, gene cluster analysis is …
Fault location of untransposed double-circuit transmission lines based on an improved Karrenbauer matrix and the QPSO algorithm
M Tang, H Lu, B Li - Protection and Control of Modern Power Systems, 2023 - Springer
Some double-circuit transmission lines are untransposed, which results in complex coupling
relations between the parameters of the transmission lines. If the traditional modal …
relations between the parameters of the transmission lines. If the traditional modal …