Cargando…

Water Quality Assessment in the Harbin Reach of the Songhuajiang River (China) Based on a Fuzzy Rough Set and an Attribute Recognition Theoretical Model

A large number of parameters are acquired during practical water quality monitoring. If all the parameters are used in water quality assessment, the computational complexity will definitely increase. In order to reduce the input space dimensions, a fuzzy rough set was introduced to perform attribute...

Descripción completa

Detalles Bibliográficos
Autores principales:	An, Yan, Zou, Zhihong, Li, Ranran
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2014
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4025034/ https://www.ncbi.nlm.nih.gov/pubmed/24675643 http://dx.doi.org/10.3390/ijerph110403507

Ejemplares similares

Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
por: Benítez-Caballero, M. José, et al.
Publicado: (2020)

Transactions on rough sets II: rough sets and fuzzy sets
por: Hutchison, David, et al.
Publicado: (2005)

δ-Cut Decision-Theoretic Rough Set Approach: Model and Attribute Reductions
por: Ju, Hengrong, et al.
Publicado: (2014)

Fuzzy sets, rough sets, multisets and clustering
por: Torra, Vicenç, et al.
Publicado: (2017)

fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets
por: Lenz, Oliver Urs, et al.
Publicado: (2020)

Further Study of Multigranulation T-Fuzzy Rough Sets
por: Li, Wentao, et al.
Publicado: (2014)

Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging
por: Maji, Pradipta, et al.
Publicado: (2012)

Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System
por: Pȩkala, Barbara, et al.
Publicado: (2022)

Heavy Metals in Sediment from the Urban and Rural Rivers in Harbin City, Northeast China
por: Cui, Song, et al.
Publicado: (2019)

Hybrid Mammogram Classification Using Rough Set and Fuzzy Classifier
por: Abu-Amara, Fadi, et al.
Publicado: (2009)

Uncertainty management with fuzzy and rough sets: recent advances and applications
por: Bello, Rafael, et al.
Publicado: (2019)

Theory and Application on Rough Set, Fuzzy Logic, and Granular Computing
por: Yang, Xibei, et al.
Publicado: (2015)

An Algorithm to Select the Optimal Program Based on Rough Sets and Fuzzy Soft Sets
por: Wenjun, Liu, et al.
Publicado: (2014)

Generalized rough and fuzzy rough automata for semantic computing
por: Yadav, Swati, et al.
Publicado: (2022)

Occurrence, variations, and risk assessment of neonicotinoid insecticides in Harbin section of the Songhua River, northeast China
por: Liu, Zhikun, et al.
Publicado: (2021)

Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets
por: Pérez Pupo, Iliana, et al.
Publicado: (2020)

Situation Element Extraction Based on Fuzzy Rough Set and Combination Classifier
por: Zhao, Dongmei, et al.
Publicado: (2022)

Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning
por: Suraj, Zbigniew, et al.
Publicado: (2020)

Attribute Reduction from Closure Operators and Matroids in Rough Set Theory
por: Restrepo, Mauricio, et al.
Publicado: (2020)

Measuring Polarization: A Fuzzy Set Theoretical Approach
por: Guevara, Juan Antonio, et al.
Publicado: (2020)

Rough sets, fuzzy sets, data mining, and granular computing : 10th international conference, RSFDGrC 2005, Regina, Canada, August 31-September 3rd, 2005 : proceedings
Publicado: (2005)

Rough Atanassov's Intuitionistic Fuzzy Sets Model over Two Universes and Its Applications
por: Luo, Shuqun, et al.
Publicado: (2014)

Generalized fuzzy variable precision rough sets based on bisimulations and the corresponding decision-making
por: Zhang, Li, et al.
Publicado: (2022)

An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets
por: Sun, Lin, et al.
Publicado: (2019)

Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition Attributes
por: Honghai, Feng, et al.
Publicado: (2006)

Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods
por: Vluymans, Sarah
Publicado: (2018)

Rough set based information theoretic approach for clustering uncertain categorical data
por: Uddin, Jamal, et al.
Publicado: (2022)

Phytoplankton alpha diversity indices response the trophic state variation in hydrologically connected aquatic habitats in the Harbin Section of the Songhua River
por: Meng, Fanhua, et al.
Publicado: (2020)

Computational intelligence and feature selection: rough and fuzzy approaches
por: Jensen, Richard, et al.
Publicado: (2008)

Reasoning within expressive fuzzy rough description logics
por: Jiang, Yuncheng, et al.
Publicado: (2009)

Directed rough fuzzy graph with application to trade networking
por: Ahmad, Uzma, et al.
Publicado: (2022)

Estimation of COVID-19 outbreak size in Harbin, China
por: Song, Haitao, et al.
Publicado: (2021)

Using Rough Sets to Improve Activity Recognition Based on Sensor Data †
por: Guesgen, Hans W.
Publicado: (2020)

Assessing Water Resources Vulnerability by Using a Rough Set Cloud Model: A Case Study of the Huai River Basin, China
por: Chen, Yan, et al.
Publicado: (2018)

A Dual Hesitant Fuzzy Multigranulation Rough Set over Two-Universe Model for Medical Diagnoses
por: Zhang, Chao, et al.
Publicado: (2015)

A Fast Feature Selection Algorithm by Accelerating Computation of Fuzzy Rough Set-Based Information Entropy
por: Zhang, Xiao, et al.
Publicado: (2018)

A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures
por: Sun, Lin, et al.
Publicado: (2019)

Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model
por: Wang, Yumin, et al.
Publicado: (2019)

River capture in the middle reaches of the palaeo-Yarlung Zangbo River
por: Liu, Yong, et al.
Publicado: (2020)

An integrated rough-fuzzy WINGS-ISM method with an application in ASSCM
por: Wang, Muwen, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_2mbdbbq39on9ls3qtefm7e0r9m