Van-Nam Huynh

According to our database1, Van-Nam Huynh authored at least 179 papers between 1999 and 2024.

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Bibliography

2024
An information fusion based approach to context-based fine-tuning of GPT models.
Inf. Fusion, April, 2024

Conditional variational autoencoder for query expansion in ad-hoc information retrieval.
Inf. Sci., January, 2024

Evaluating Innovation Capability in Banking Under Uncertainty.
IEEE Trans. Engineering Management, 2024

2023
Integrated preference argumentation and applications in consumer behaviour analyses.
Int. J. Approx. Reason., August, 2023

Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts.
IEEE Trans. Knowl. Data Eng., July, 2023

A method for k-means-like clustering of categorical data.
J. Ambient Intell. Humaniz. Comput., 2023

Mining Insights From Esports Game Reviews With an Aspect-Based Sentiment Analysis Framework.
IEEE Access, 2023

Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning.
IEEE Access, 2023

Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs).
IEEE Access, 2023

A Customer-Driven Evaluation Method for Service Innovation in Banking.
IEEE Access, 2023

Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm.
Proceedings of the Model and Data Engineering - 12th International Conference, 2023

Inference Problem in Probabilistic Multi-label Classification.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

2022
Textual analysis and corporate bankruptcy: A financial dictionary-based sentiment approach.
J. Oper. Res. Soc., 2022

3-Tuple Linguistic Distance-Based Model for a New Product go/no-go Evaluation.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022

A Demand-Driven Model for Reallocating Workers in Assembly Lines.
IEEE Access, 2022

A Novel Cluster Prediction Approach Based on Locality-Sensitive Hashing for Fuzzy Clustering of Categorical Data.
IEEE Access, 2022

A Multi-Criteria Collaborative Filtering Approach Using Deep Learning and Dempster-Shafer Theory for Hotel Recommendations.
IEEE Access, 2022

Learning Perceptual Position-Aware Shapelets for Time Series Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Towards a Human-like Chatbot using Deep Adversarial Learning.
Proceedings of the 14th International Conference on Knowledge and Systems Engineering, 2022

Job-Satisfaction Enhancement in Nurse Scheduling: A Case of Hospital Emergency Department in Thailand.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

A Data-Driven Weighting Method Based on DEA Model for Evaluating Innovation Capability in Banking.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

2021
Clustering mixed numerical and categorical data with missing values.
Inf. Sci., 2021

An integrated framework of learning and evidential reasoning for user profiling using short texts.
Inf. Fusion, 2021

An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation.
Neurocomputing, 2021

An LSH-based k-representatives clustering method for large categorical data.
Neurocomputing, 2021

Multi-objective Optimization of Freight Route Choices in Multimodal Transportation.
Int. J. Comput. Intell. Syst., 2021

Revealed preference in argumentation: Algorithms and applications.
Int. J. Approx. Reason., 2021

Preface: recent advances in knowledge modelling and decision making with uncertainties.
Ann. Oper. Res., 2021

A Hybrid Reinforcement Learning-Based Model for the Vehicle Routing Problem in Transportation Logistics.
IEEE Access, 2021

A Mass-Based Approach for Local Outlier Detection.
IEEE Access, 2021

Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Mass-Based Similarity Weighted k-Neighbor for Class Imbalance.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Esports Game Updates and Player Perception: Data Analysis of PUBG Steam Reviews.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

Bi-objective Optimization Model for Determining Shelter Location-allocation in Humanitarian Relief Logistics.
Proceedings of the 10th International Conference on Operations Research and Enterprise Systems, 2021

Kernel-Based k-Representatives Algorithm for Fuzzy Clustering of Categorical Data.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Revealed Preference Argumentation and Applications in Consumer Behaviour Analyses.
Proceedings of the Multi-Agent Systems - 18th European Conference, 2021

Discovering Topics of Interest on Steam Community Using an LDA Approach.
Proceedings of the Advances in the Human Side of Service Engineering, 2021

Analyzing the Relationship Between Service Innovation and Customer Value Co-creation Intention: The Case of Mobile Banking.
Proceedings of the Advances in the Human Side of Service Engineering, 2021

2020
Integrating Community Context Information Into a Reliably Weighted Collaborative Filtering System Using Soft Ratings.
IEEE Trans. Syst. Man Cybern. Syst., 2020

On Sampling Techniques for Corporate Credit Scoring.
J. Adv. Comput. Intell. Intell. Informatics, 2020

Incorporating Active Learning into Machine Learning Techniques for Sensory Evaluation of Food.
Int. J. Comput. Intell. Syst., 2020

Mining top-k frequent patterns from uncertain databases.
Appl. Intell., 2020

k-PbC: an improved cluster center initialization for categorical data clustering.
Appl. Intell., 2020

A weight-consistent model for fuzzy supplier selection and order allocation problem.
Ann. Oper. Res., 2020

An Efficient Method for Mining Closed Potential High-Utility Itemsets.
IEEE Access, 2020

GSIC: A New Interpretable System for Knowledge Exploration and Classification.
IEEE Access, 2020

A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems.
IEEE Access, 2020

Topics in Financial Filings and Bankruptcy Prediction with Distributed Representations of Textual Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

An Evidential Reasoning Framework for User Profiling Using Short Texts.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2020

A New Classification Technique Based on the Combination of Inner Evidence.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2020

Analysis and Feedback of Movement in Manual Assembly Process.
Proceedings of the Advances in the Human Side of Service Engineering, 2020

A Framework for a Practical Nurse Scheduling Approach: A Case of Operating Room of a Hospital in Thailand.
Proceedings of the Advances in the Human Side of Service Engineering, 2020

2019
A Novel Hybrid Autoregressive Integrated Moving Average and Artificial Neural Network Model for Cassava Export Forecasting.
Int. J. Comput. Intell. Syst., 2019

Uncertainty Management in Machine Learning Applications.
Int. J. Approx. Reason., 2019

An uncertain target-oriented QFD approach to service design based on service standardization with an application to bank window service.
IISE Trans., 2019

A novel non-parametric method for time series classification based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging.
Eng. Appl. Artif. Intell., 2019

Learning Individual and Group Preferences in Abstract Argumentation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Human Density Estimation by Exploiting Deep Spatial Contextual Information.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Measuring Hotel Review Sentiment: An Aspect-Based Sentiment Analysis Approach.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Averaged Logits: An Weakly-Supervised Approach to Use Ratings to Train Sentence-Level Sentiment Classifiers.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Three Valued Representation of Opinions in Affective Design.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Detecting abnormal behavior in the transportation planning using long short term memories and a contextualized dynamic threshold.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

2018
Suitable Aggregation Models Based on Risk Preferences for Supplier Selection and Order Allocation Problem.
J. Adv. Comput. Intell. Intell. Informatics, 2018

A Three-Dimensional Fuzzy Linguistic Evaluation Model.
J. Adv. Comput. Intell. Intell. Informatics, 2018

Joint Aspect Discovery, Sentiment Classification, Aspect-Level Ratings and Weights Approximation for Recommender Systems by Rating Supervised Latent Topic Model.
J. Adv. Comput. Intell. Intell. Informatics, 2018

Grading Sewing Operator Skill Using Principal Component Analysis and Ordinal Logistic Regression.
Int. J. Knowl. Syst. Sci., 2018

An efficient algorithm for Hiding High Utility Sequential Patterns.
Int. J. Approx. Reason., 2018

Training attractive attribute classifiers based on opinion features extracted from review data.
Electron. Commer. Res. Appl., 2018

An efficient algorithm for mining periodic high-utility sequential patterns.
Appl. Intell., 2018

A New Context-Based Clustering Framework for Categorical Data.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Balancing Assembly Lines and Matching Demand Through Worker Reallocations.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

Optimal Clustering with Twofold Memberships.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

k-CCM: A Center-Based Algorithm for Clustering Categorical Data with Missing Values.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

A New Context-Based Similarity Measure for Categorical Data Using Information Theory.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

Sensory Quality Assessment of Food Using Active Learning.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

Knowledge-Based Learning for Solving Vehicle Routing Problem.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
A linguistic representation based approach to modelling Kansei data and its application to consumer-oriented evaluation of traditional products.
Knowl. Based Syst., 2017

A Knowledge Management Approach to Evaluation of Ability and Environment for Graduate Research.
Int. J. Knowl. Syst. Sci., 2017

Developing Evaluation Criteria for Partner Selection in Tourism Supply Chain Networks.
Int. J. Knowl. Syst. Sci., 2017

A Novel Hybridization of ARIMA, ANN, and K-Means for Time Series Forecasting.
Int. J. Knowl. Syst. Sci., 2017

Two-probabilities focused combination in recommender systems.
Int. J. Approx. Reason., 2017

Using community preference for overcoming sparsity and cold-start problems in collaborative filtering system offering soft ratings.
Electron. Commer. Res. Appl., 2017

A stochastic dominance based approach to consumer-oriented Kansei evaluation with multiple priorities.
Ann. Oper. Res., 2017

Recent advances of uncertainty management in knowledge modelling and decision making.
Ann. Oper. Res., 2017

A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty.
Ann. Oper. Res., 2017

Knowledge Management in Graduate Research.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

A Hybrid Model of ARIMA and ANN with Discrete Wavelet Transform for Time Series Forecasting.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

Mining Periodic High Utility Sequential Patterns.
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016
ARIMA Versus Artificial Neural Network for Thailand's Cassava Starch Export Forecasting.
Proceedings of the Causal Inference in Econometrics, 2016

Knowledge-Scientific Evaluation of a Social Service System.
Int. J. Knowl. Syst. Sci., 2016

Mining closed high utility itemsets in uncertain databases.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

A Linguistic Representation Method for Kansei Data.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Suitable Aggregation Operator for a Realistic Supplier Selection Model Based on Risk Preference of Decision Maker.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2016

Rating Supervised Latent Topic Model for Aspect Discovery and Sentiment Classification in On-Line Review Mining.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2016

A Hybrid Model of ARIMA, ANNs and k-Means Clustering for Time Series Forecasting.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Estimating Asymmetric Product Attribute Weights in Review Mining.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Noise-Averse Combination Method.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

On Information Fusion in Recommender Systems Based on Dempster-Shafer Theory.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A linguistic partner evaluation model in tourism supply chain networks.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A k-Means-Like Algorithm for Clustering Categorical Data Using an Information Theoretic-Based Dissimilarity Measure.
Proceedings of the Foundations of Information and Knowledge Systems, 2016

Integrating with Social Network to Enhance Recommender System Based-on Dempster-Shafer Theory.
Proceedings of the Computational Social Networks - 5th International Conference, 2016

2015
Using Conditional Copula to Estimate Value-at-Risk in Vietnam's Foreign Exchange Market.
Proceedings of the Econometrics of Risk, 2015

An Interval Linguistic Distribution Model for Multiple Attribute Decision Making Problems with Incomplete Linguistic Information.
Int. J. Knowl. Syst. Sci., 2015

Knowledge and Systems Engineering - KSE 2013: Editorial.
Data Knowl. Eng., 2015

Evidence Combination Focusing on Significant Focal Elements for Recommender Systems.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

A Reliably Weighted Collaborative Filtering System.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
A construction of sound semantic linguistic scales using 4-tuple representation of term semantics.
Int. J. Approx. Reason., 2014

Coping with Group Behaviors in Uncertain Quality Function Deployment.
Decis. Sci., 2014

A Community-Based Collaborative Filtering System Dealing with Sparsity Problem and Data Imperfections.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Automatically Learning Patterns in Subjectivity Classification for Vietnamese.
Proceedings of the Knowledge and Systems Engineering, 2014

A fuzzy linguistic representation model for decision making under uncertainty.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014

2013
Non-additive multi-attribute fuzzy target-oriented decision analysis.
Inf. Sci., 2013

Uncertainty in financial econometrics: Editorial.
Int. J. Approx. Reason., 2013

Parallel phrase extraction from English-Vietnamese parallel corpora.
Proceedings of the 2013 IEEE RIVF International Conference on Computing and Communication Technologies, 2013

Paragraph Alignment for English-Vietnamese Parallel E-Books.
Proceedings of the Knowledge and Systems Engineering, 2013

Applying OWA Operator to Model Group Behaviors in Uncertain QFD.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013

2012
An extension of context model for representing vague knowledge.
Int. J. Reason. based Intell. Syst., 2012

A group nonadditive multiattribute consumer-oriented Kansei evaluation model with an application to traditional crafts.
Ann. Oper. Res., 2012

Integrated uncertainty management for decision making.
Ann. Oper. Res., 2012

2011
A Linguistic Screening Evaluation Model in New Product Development.
IEEE Trans. Engineering Management, 2011

On prioritized weighted aggregation in multi-criteria decision making.
Expert Syst. Appl., 2011

A probabilistic model for linguistic multi-expert decision making involving semantic overlapping.
Expert Syst. Appl., 2011

Fuzzy Target-Based Multi-feature Evaluation of Traditional Craft Products.
Proceedings of the Knowledge Science, Engineering and Management, 2011

A Computing with Words Based Approach to Multicriteria Energy Planning.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2011

2010
Notes on "Reducing Algorithm Complexity for Computing an Aggregate Uncertainty Measure".
IEEE Trans. Syst. Man Cybern. Part A, 2010

A Target-Based Decision-Making Approach to Consumer-Oriented Evaluation Model for Japanese Traditional Crafts.
IEEE Trans. Engineering Management, 2010

Adaptively entropy-based weighting classifiers in combination using Dempster-Shafer theory for word sense disambiguation.
Comput. Speech Lang., 2010

A Comparative Study of Target-Based Evaluation of Traditional Craft Patterns Using Kansei Data.
Proceedings of the Knowledge Science, 2010

Linguistic Multi-Expert Decision Making Involving Semantic Overlapping.
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

Combination of Uncertain Class Membership Degrees with Probabilistic, Belief, and Possibilistic Measures.
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

2009
Interval/Probabilistic Uncertainty: Editorial.
Int. J. Approx. Reason., 2009

Decision Analysis with Hybrid Uncertain Performance Targets.
Proceedings of the IEEE International Conference on Systems, 2009

Decision Making Using Early Warning Information on Extreme Weather.
Proceedings of the IEEE International Conference on Systems, 2009

Target-Oriented Decision Analysis with Different Target Preferences.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

Discounting and Combination Scheme in Evidence Theory for Dealing with Conflict in Information Fusion.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

On Decision Making under Interval Uncertainty: A New Justification of Hurwicz Optimism-Pessimism Approach and its Use in Group Decision Making.
Proceedings of the ISMVL 2009, 2009

2008
An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids.
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

Decision Analysis with Fuzzy Targets.
Proceedings of the Intelligent Decision Making: An AI-Based Approach, 2008

A Probability-Based Approach to Consumer Oriented Evaluation of Traditional Craft Items Using Kansai Data.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Personalized Recommendation for Traditional Crafts Using Fuzzy Correspondence Analysis with Kansei Data and OWA Operator.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making.
IEEE Trans. Fuzzy Syst., 2008

A Behavioral Decision Model Based on Fuzzy Targets in Decision Making Using Weather Information.
J. Adv. Comput. Intell. Intell. Informatics, 2008

Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis.
Inf. Sci., 2008

Semi-supervised learning integrated with classifier combination for word sense disambiguation.
Comput. Speech Lang., 2008

Two-tuple linguistic screening evaluation at the front end in new product development.
Proceedings of the IEEE International Conference on Systems, 2008

2007
Knowledge Representation and Multiple Criteria Aggregation.
Proceedings of the Creative Environments: Issues of Creativity Support for the Knowledge Civilization Age, 2007

An Algebraic Foundation for Linguistic Reasoning.
Fundam. Informaticae, 2007

Decision making under uncertainty with fuzzy targets.
Fuzzy Optim. Decis. Mak., 2007

Combining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators.
Data Knowl. Eng., 2007

Group decision making with linguistic information using a probability-based approach and OWA operators.
Proceedings of the IEEE International Conference on Systems, 2007

Towards Efficient Prediction of Decisions under Interval Uncertainty.
Proceedings of the Parallel Processing and Applied Mathematics, 2007

A Behavioral Analysis in Decision Making Using Weather Information with the Fuzzy Target Based Decision Model.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2007

2006
Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited.
IEEE Trans. Syst. Man Cybern. Part A, 2006

Utility Function Induced by Fuzzy Target in Probabilistic Decision Making.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Weighted combination of classifiers for word sense disambiguation based on dempster-shafer theory.
Proceedings of the 4th International Confernce on Computer Sciences: Research, 2006

A Fuzzy Target Based Model for Decision Making Under Uncertainty.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
A satisfactory-oriented approach to multiexpert decision-making with linguistic assessments.
IEEE Trans. Syst. Man Cybern. Part B, 2005

A roughness measure for fuzzy sets.
Inf. Sci., 2005

A context-dependent knowledge model for evaluation of regional environment.
Environ. Model. Softw., 2005

Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation.
Proceedings of the Rough Sets, 2005

An Extension of Rough Approximation Quality to Fuzzy Classification.
Proceedings of the Rough Sets, 2005

Combining Classifiers with Multi-representation of Context in Word Sense Disambiguation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model.
Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38 2005), 2005

MEDM in general multi-granular hierarchical linguistic contexts based on the 2-tuples linguistic model.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

2004
A Fuzzy Set Based Approach to Generalized Landscape Theory of Aggregation.
New Gener. Comput., 2004

A context model for fuzzy concept analysis based upon modal logic.
Inf. Sci., 2004

A Framework for Representation and Manipulation of Vague Knowledge.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2004

A note on fuzzy granular reasoning.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

A context-based interpretation of linguistic variables.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

An approach to roughness of fuzzy sets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

A New Approach to Belief Modeling.
Proceedings of the Foundations of Information and Knowledge Systems, 2004

Assessment Aggregation in the Evidential Reasoning Approach to MADM Under Uncertainty: Orthogonal Versus Weighted Sum.
Proceedings of the Advances in Computer Science, 2004

2003
Fuzziness and Uncertainty within the Framework of Context Model.
Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

2002
A parametric representation of linguistic hedges in Zadeh's fuzzy logic.
Int. J. Approx. Reason., 2002

An algebraic approach to linguistic hedges in Zadeh's fuzzy logic.
Fuzzy Sets Syst., 2002

A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic.
Proceedings of the Foundations of Information and Knowledge Systems, 2002

1999
Hedge Algebras, Linguistic-Valued Logic and Their Application to Fuzzy Reasoning.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999


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