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Evolving Ensemble Fuzzy Classifier [PDF]
IEEE Transactions on Fuzzy Systems, 2018 The concept of ensemble learning offers a promising avenue in learning from data streams under complex environments because it addresses the bias and variance dilemma better than its single model counterpart and features a reconfigurable structure, which
Lughofer, Edwin +2 more
core +6 more sources
Fault diagnosis for cooling dehumidifier based on fuzzy classifier optimized by adaptive genetic algorithm [PDF]
Heliyon, 2022 The running of cooling dehumidifier is characterized by strong coupling, large delay and nonlinearity, so it is not easy to establish a precise quantitative model for fault diagnosis.
Yunguang Gao, Changlin Ma, Tao Wang
doaj +2 more sources
Evolving multi-label fuzzy classifier [PDF]
Information Sciences, 2022 Multi-label classification has attracted much attention in the machine learning community to address the problem of assigning single samples to more than one class at the same time. We propose an evolving multi-label fuzzy classifier (EFC-ML) which is able to self-adapt and self-evolve its structure with new incoming multi-label samples in an ...
E. Lughofer
openaire +3 more sources
Comparative study of ANN and fuzzy classifier for forecasting electrical activity of heart to diagnose Covid-19. [PDF]
Mater Today Proc, 2021 Covid-19 is a dangerous communicable virus which lets down the world economy. Severe respiratory syndrome SARS-COV-2 leads to Corona Virus Disease (COVID-19) and has the capability of transmission through human-to-human and surface-to-human transmission ...
Nivethitha T +3 more
europepmc +2 more sources
A Novel Fuzzy Classifier Model for Cancer Classification Using Gene Expression Data
IEEE Access, 2023 In the pursuit of better cancer classification, many studies have been conducted to identify the genes associated with cancer. However, the high dimensionality of gene expression data and the limited relevance of a few genes pose significant challenges ...
Mahmood Khalsan +5 more
doaj +2 more sources
Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function [PDF]
Advances in Fuzzy Systems, 2012 This paper describes an enhancement of fuzzy lattice reasoning (FLR) classifier for pattern classification based on a positive valuation function. Fuzzy lattice reasoning (FLR) was described lately as a lattice data domain extension of fuzzy ARTMAP ...
Yazdan Jamshidi Khezeli +1 more
doaj +2 more sources
Evolving Type-2 Fuzzy Classifier [PDF]
IEEE Transactions on Fuzzy Systems, 2016 Evolving fuzzy classifiers (EFCs) have achieved immense success in dealing with nonstationary data streams because of their flexible characteristics. Nonetheless, most real-world data streams feature highly uncertain characteristics, which cannot be handled by the type-1 EFC.
Mahardhika Pratama +2 more
openaire +3 more sources
Fuzzy parameterized fuzzy soft k-nearest neighbor classifier
Neurocomputing, 2022 In this paper, we propose a new kNN algorithm, i.e., Fuzzy Parameterized Fuzzy Soft kNN (FPFS-kNN), based on multiple pseudo-metrics of fuzzy parameterized fuzzy soft matrices (fpfs-matrices). FPFS-kNN can consider the impacts of parameters on classification using pseudo-metrics of fpfs-matrices - a new concept.
Memis, S., Enginoglu, S., Erkan, U.
openaire +4 more sources
A Neuro Fuzzy Classifier with Linguistic Hedges for Speech Recognition [PDF]
EAI Endorsed Transactions on Internet of Things, 2020 Fuzzy classification is the task of partitioning a feature space into fuzzy classes. A Neuro fuzzy classifier with linguistic hedges is proposed for noisy and clean speech classification.
Vani H Y, Anusuya M A
doaj +1 more source
Fuzzy Approaches Ability and their Performance Comparison to Fraud Detection in Financial Reporting [PDF]
مجله دانش حسابداری, 2018 The possibility of fraud in the issued financial statements, and its negative impacts on financial markets and the resulting reduction of investment have caused responsible monitoring organizations to detect the frauds and to move seriously against them.
Abolghasem Massihabadi (Ph.D) +1 more
doaj +1 more source