Xiao-Jun Zeng

According to our database1, Xiao-Jun Zeng authored at least 114 papers between 1994 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Consistency Measures of Linguistic Preference Relations With Hedges.
IEEE Trans. Fuzzy Systems, 2019

A Self-Evolving Fuzzy System Which Learns Dynamic Threshold Parameter by Itself.
IEEE Trans. Fuzzy Systems, 2019

Learning from data streams using kernel least-mean-square with multiple kernel-sizes and adaptive step-size.
Neurocomputing, 2019

Regional condition-aware hybrid routing protocol for hybrid wireless mesh network.
Computer Networks, 2019

An Aspiration-Based Approach for Qualitative Decision-Making With Complex Linguistic Expressions.
IEEE Access, 2019

Load- and Interference-Balance Hybrid Routing Protocol for Hybrid Wireless Mesh Network.
Proceedings of the 2019 Wireless Days, 2019

2018
Modeling complex linguistic expressions in qualitative decision making: An overview.
Knowl.-Based Syst., 2018

Linguistic terms with weakened hedges: A model for qualitative decision making under uncertainty.
Inf. Sci., 2018

An integrated optimization + learning approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids.
Inf. Sci., 2018

Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges.
Information Fusion, 2018

Decision Analysis on Choquet Integral-Based Multi-Criteria Decision-Making with Imprecise Information.
International Journal of Information Technology and Decision Making, 2018

Learning evolving T-S fuzzy systems with both local and global accuracy - A local online optimization approach.
Appl. Soft Comput., 2018

Stock Price Forecasting Incorporating Market State.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Comparing Technical and Fundamental Indicators in Stock Price Forecasting.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Demand Based Bidding Strategies Under Interval Demand for Integrated Demand and Supply Management.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China.
Inf. Sci., 2017

A Comparison of Distinct Consensus Measures for Group Decision Making with Intuitionistic Fuzzy Preference Relations.
Int. J. Comput. Intell. Syst., 2017

Designing an intelligent decision support system for effective negotiation pricing: A systematic and learning approach.
Decision Support Systems, 2017

An optimal differential pricing in smart grid based on customer segmentation.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

Learning evolving Mamdani fuzzy systems based on parameter optimization.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid.
IEEE Trans. Smart Grid, 2016

An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations.
Inf. Sci., 2016

Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis.
Appl. Soft Comput., 2016

Integrated Demand and Supply Side Pricing Optimization Schemes for Electricity Market.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Modified Evolving Participatory Learning Algorithms for Takagi-Sugeno Fuzzy System Modelling from Streaming Data.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Combining Mouse and Keyboard Events with Higher Level Desktop Actions to Detect Mild Cognitive Impairment.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

A bilevel optimization approach to demand response management for the smart grid.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Integrating demand response into electricity market.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Framework of Group Decision Making With Intuitionistic Fuzzy Preference Information.
IEEE Trans. Fuzzy Systems, 2015

Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making.
IEEE Trans. Fuzzy Systems, 2015

Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets.
Knowl.-Based Syst., 2015

Novel correlation coefficients between hesitant fuzzy sets and their application in decision making.
Knowl.-Based Syst., 2015

Fuzzy system approaches to negotiation pricing decision support.
Journal of Intelligent and Fuzzy Systems, 2015

Fuzzy C-means++: Fuzzy C-means with effective seeding initialization.
Expert Syst. Appl., 2015

ISTS: Implicit social trust and sentiment based approach to recommender systems.
Expert Syst. Appl., 2015

Demand modelling in electricity market with day-ahead dynamic pricing.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Appliance level demand modeling and pricing optimization for demand response management in smart grid.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Twitter-Based Recommender System to Address Cold-Start: A Genetic Algorithm Based Trust Modelling and Probabilistic Sentiment Analysis.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Diversity Guided Evolutionary Mining of Hierarchical Process Models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Accurate similarity analysis and computing of Gaussian membership functions for FNN simplification.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Evolutionary Computation Based Discovery of Hierarchical Business Process Models.
Proceedings of the Business Information Systems - 18th International Conference, 2015

2014
Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making.
Inf. Sci., 2014

Conformance checking for BPMN-based process models.
Proceedings of the Symposium on Applied Computing, 2014

An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid.
Soft Comput., 2013

A simplified structure evolving method for Mamdani fuzzy system identification and its application to high-dimensional problems.
Inf. Sci., 2013

ICNC-FSKD 2012 Special Issue on "Computers & Mathematics in Natural Computation and Data Mining".
Computers & Mathematics with Applications, 2013

A Bayesian Association Rule Mining Algorithm.
Proceedings of the IEEE International Conference on Systems, 2013

Fuzzy Cluster Analysis of Financial Time Series and Their Volatility Assessment.
Proceedings of the IEEE International Conference on Systems, 2013

Learning Customer Behaviour under Real-Time Pricing in the Smart Grid.
Proceedings of the IEEE International Conference on Systems, 2013

A New Approach to Demand Modelling and Optimisation in Pricing Decision Support Systems.
Proceedings of the IEEE International Conference on Systems, 2013

An Optimal Real-time Pricing Algorithm for the Smart Grid: A Bi-level Programming Approach.
Proceedings of the 2013 Imperial College Computing Student Workshop, 2013

2012
T-S-Fuzzy-Model-Based Approximation and Controller Design for General Nonlinear Systems.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

A clustering algorithm for radial basis function neural network initialization.
Neurocomputing, 2012

Guest editorial: Evolving learning and adaptive modelling approaches to prediction, forecasting and control - preface to the special issue.
Evolving Systems, 2012

An improved approach of self-organising fuzzy neural network based on similarity measures.
Evolving Systems, 2012

A Stackelberg Game Approach to maximise electricity retailer's profit and minimse customers' bills for future smart grid.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012

A structure learning method for concise fuzzy systems.
Proceedings of the FUZZ-IEEE 2012, 2012

A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme.
Proceedings of the FUZZ-IEEE 2012, 2012

Universal fuzzy models and universal fuzzy controllers based on generalized T-S fuzzy models.
Proceedings of the FUZZ-IEEE 2012, 2012

Dotted Chart and Control-Flow Analysis for a Loan Application Process.
Proceedings of the Business Process Management Workshops, 2012

2011
Core-Generating Discretization for Rough Set Feature Selection.
Trans. Rough Sets, 2011

An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems.
IEEE Trans. Fuzzy Systems, 2011

A trust-based multi-ego social network model to investigate emotion diffusion.
Social Netw. Analys. Mining, 2011

Twitter mood predicts the stock market.
J. Comput. Science, 2011

Core-generating approximate minimum entropy discretization for rough set feature selection in pattern classification.
Int. J. Approx. Reasoning, 2011

Genetic programming with a norm-referenced fitness function.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

T-S fuzzy systems approach to approximation and robust controller design for general nonlinear systems.
Proceedings of the FUZZ-IEEE 2011, 2011

A Simplified Structure Evolving Method for Fuzzy System structure learning.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

2010
An Evolving-Construction Scheme for Fuzzy Systems.
IEEE Trans. Fuzzy Systems, 2010

A structure evolving learning method for fuzzy systems.
Evolving Systems, 2010

Discussion on: ''Exponential Stability Based Design of Constrained Fuzzy Predictive Control''.
Eur. J. Control, 2010

Bottom-Up Tree Evaluation in Tree-Based Genetic Programming.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

A three-part input-output clustering-based approach to fuzzy system identification.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Intermediate Variable Normalization for Gradient Descent Learning for Hierarchical Fuzzy System.
IEEE Trans. Fuzzy Systems, 2009

Comparing data mining methods with logistic regression in childhood obesity prediction.
Information Systems Frontiers, 2009

A flexible visual inspection system based on neural networks.
Int. J. Systems Science, 2009

Simplified neural networks algorithm for function approximation on discrete input spaces in high dimension-limited sample applications.
Neurocomputing, 2009

Generating Automatic Fuzzy System from Relational Database System for Estimating Null Values.
Cybernetics and Systems, 2009

Output tracking of constrained nonlinear processes with offset-free input-to-state stable fuzzy predictive control.
Automatica, 2009

A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems.
Appl. Soft Comput., 2009

Predicting the Outcome of Tuberculosis Treatment Course in Frame of Dots - From Demographic Data to Logistic Regression Model.
Proceedings of the Second International Conference on Health Informatics, 2009

2008
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors.
IEEE Trans. Neural Networks, 2008

Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application.
IEEE Trans. Fuzzy Systems, 2008

Kernel regression networks with local structural information and covariance volume adaptation.
Neurocomputing, 2008

Automating the processing of cDNA microarray images.
IJISTA, 2008

A Modular Method for Estimating Null Values in Relational Database Systems.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

An incremental construction learning algorithm for identification of T-S Fuzzy Systems.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2007

Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.
IEEE Trans. Neural Networks, 2007

Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables.
Neurocomputing, 2007

An Input-Output Clustering Method for Fuzzy System Identification.
Proceedings of the FUZZ-IEEE 2007, 2007

Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation.
Proceedings of the FUZZ-IEEE 2007, 2007

Short-Term Load Forecasting Based On Self-Organizing Fuzzy Neural Networks.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Approximation capabilities of hierarchical hybrid systems.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2006

A granular computing view on function approximation.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Evaluating the effect of rough set feature selection on the performance of decision trees.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Fuzzy Systems Approach to Approximation and Stabilization of Conventional Affine Nonlinear Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Learning for Hierarchical Fuzzy Systems Based on the Gradient-Descent Method.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Approximation Capabilities of Hierarchical Fuzzy Systems.
IEEE Trans. Fuzzy Systems, 2005

Separable Approximation Property of Hierarchical Fuzzy Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
Approximation capability analysis of hierarchical Takagi-Sugeno fuzzy systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Knowledge bounded least squares method for the identification of fuzzy systems.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2003

2002
Design and implementation of a turbo decoder for 3G W-CDMA systems.
IEEE Trans. Consumer Electronics, 2002

1997
Fuzzy bounded least-squares method for the identification of linear systems.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 1997

1996
Approximation properties of fuzzy systems generated by the min inference.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1996

A relationship between membership functions and approximation accuracy in fuzzy systems.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1996

Decomposition property of fuzzy systems and its applications.
IEEE Trans. Fuzzy Systems, 1996

Approximation accuracy analysis of fuzzy systems as function approximators.
IEEE Trans. Fuzzy Systems, 1996

Comments on Singh and Zeng: "Approximation theory of fuzzy systems-SISO case" [and reply].
IEEE Trans. Fuzzy Systems, 1996

1995
Approximation theory of fuzzy systems-MIMO case.
IEEE Trans. Fuzzy Systems, 1995

1994
Approximation theory of fuzzy systems-SISO case.
IEEE Trans. Fuzzy Systems, 1994


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