Hedge Algebras, Linguistic-Valued Logic and Their Application to Fuzzy Reasoning. - Cat Ho Nguyen; Dinh-Khang Tran; Van-Nam Huynh; Hai-Chau Nguyen (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999)

A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic. - Van-Nam Huynh; Yoshiteru Nakamori; Tu Bao Ho; Germano Resconi (FoIKS, 2002)

An algebraic approach to linguistic hedges in Zadeh's fuzzy logic. - Nguyen Cat Ho; Van-Nam Huynh (Fuzzy Sets Syst., 2002)

A parametric representation of linguistic hedges in Zadeh's fuzzy logic. - Van-Nam Huynh; Tu Bao Ho; Yoshiteru Nakamori (Int. J. Approx. Reason., 2002)

Fuzziness and Uncertainty within the Framework of Context Model. - Van-Nam Huynh; Mina Ryoke; Yoshiteru Nakamori; Tu Bao Ho (IFSA, 2003)

Assessment Aggregation in the Evidential Reasoning Approach to MADM Under Uncertainty: Orthogonal Versus Weighted Sum. - Van-Nam Huynh; Yoshiteru Nakamori; Tu Bao Ho (ASIAN, 2004)

A New Approach to Belief Modeling. - Van-Nam Huynh; Yoshiteru Nakamori; Tetsuya Murai; Tu Bao Ho (FoIKS, 2004)

An approach to roughness of fuzzy sets. - Van-Nam Huynh; Yoshiteru Nakamori (FUZZ-IEEE, 2004)

A context-based interpretation of linguistic variables. - Van-Nam Huynh; Yoshiteru Nakamori (FUZZ-IEEE, 2004)

A note on fuzzy granular reasoning. - Tetsuya Murai; Yasuo Kudo; Van-Nam Huynh; Akira Tanaka; Mineichi Kudo (FUZZ-IEEE, 2004)

A Framework for Representation and Manipulation of Vague Knowledge. - Van-Nam Huynh; Yoshiteru Nakamori (MDAI, 2004)

A context model for fuzzy concept analysis based upon modal logic. - Van-Nam Huynh; Yoshiteru Nakamori; Tu Bao Ho; Germano Resconi (Inf. Sci., 2004)

A Fuzzy Set Based Approach to Generalized Landscape Theory of Aggregation. - Shigemasa Suganuma; Van-Nam Huynh; Yoshiteru Nakamori; Shouyang Wang (New Gener. Comput., 2004)

MEDM in general multi-granular hierarchical linguistic contexts based on the 2-tuples linguistic model. - Van-Nam Huynh; Cat Ho Nguyen; Yoshiteru Nakamori (GrC, 2005)

Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model. - Van-Nam Huynh; Yoshiteru Nakamori (HICSS, 2005)

An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation. - Cuong Anh Le 001; Van-Nam Huynh; Akira Shimazu (MLDM, 2005)

Combining Classifiers with Multi-representation of Context in Word Sense Disambiguation. - Cuong Anh Le 001; Van-Nam Huynh; Akira Shimazu (PAKDD, 2005)

An Extension of Rough Approximation Quality to Fuzzy Classification. - Van-Nam Huynh; Tetsuya Murai; Tu Bao Ho; Yoshiteru Nakamori (RSFDGrC (1), 2005)

Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation. - Cuong Anh Le 001; Van-Nam Huynh; Hieu-Chi Dam; Akira Shimazu (RSFDGrC (1), 2005)

A context-dependent knowledge model for evaluation of regional environment. - Sayoko Kawano; Van-Nam Huynh; Mina Ryoke; Yoshiteru Nakamori (Environ. Model. Softw., 2005)

A roughness measure for fuzzy sets. - Van-Nam Huynh; Yoshiteru Nakamori (Inf. Sci., 2005)

A satisfactory-oriented approach to multiexpert decision-making with linguistic assessments. - Van-Nam Huynh; Yoshiteru Nakamori (IEEE Trans. Syst. Man Cybern. Part B, 2005)

A Fuzzy Target Based Model for Decision Making Under Uncertainty. - Van-Nam Huynh; Yoshiteru Nakamori; Mina Ryoke; Tu-Bao Ho (FUZZ-IEEE, 2006)

Weighted combination of classifiers for word sense disambiguation based on dempster-shafer theory. - Anh-Cuong Le 001; Van-Nam Huynh; Akira Shimazu; Hieu-Chi Dam (RIVF, 2006)

Utility Function Induced by Fuzzy Target in Probabilistic Decision Making. - Van-Nam Huynh; Yoshiteru Nakamori; Tu Bao Ho (RSCTC, 2006)

Word Sense Disambiguation by Combining Classifiers with an Adaptive Selection of Context Representation. - Anh-Cuong Le 001; Akira Shimazu; Van-Nam Huynh (Inf. Media Technol., 2006)

Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited. - Van-Nam Huynh; Yoshiteru Nakamori; Tu Bao Ho; Tetsuya Murai (IEEE Trans. Syst. Man Cybern. Part A, 2006)

A Behavioral Analysis in Decision Making Using Weather Information with the Fuzzy Target Based Decision Model. - Akio Hiramatsu; Van-Nam Huynh; Yoshiteru Nakamori (MDAI, 2007)

Towards Efficient Prediction of Decisions under Interval Uncertainty. - Van-Nam Huynh; Vladik Kreinovich; Yoshiteru Nakamori; Hung T. Nguyen 002 (PPAM, 2007)

Group decision making with linguistic information using a probability-based approach and OWA operators. - Van-Nam Huynh; Yoshiteru Nakamori (SMC, 2007)

Combining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators. - Cuong Anh Le 001; Van-Nam Huynh; Akira Shimazu; Yoshiteru Nakamori (Data Knowl. Eng., 2007)

Decision making under uncertainty with fuzzy targets. - Van-Nam Huynh; Yoshiteru Nakamori; Mina Ryoke; Tu Bao Ho (Fuzzy Optim. Decis. Mak., 2007)

An Algebraic Foundation for Linguistic Reasoning. - Van-Nam Huynh; Yoshiteru Nakamori; Tetsuya Murai (Fundam. Informaticae, 2007)

Knowledge Representation and Multiple Criteria Aggregation. - Wieslaw Traczyk; Andrzej P. Wierzbicki; Van-Nam Huynh (Creative Environments, 2007)

Two-tuple linguistic screening evaluation at the front end in new product development. - Van-Nam Huynh; Yoshiteru Nakamori (SMC, 2008)

Semi-supervised learning integrated with classifier combination for word sense disambiguation. - Anh-Cuong Le 001; Akira Shimazu; Van-Nam Huynh; Minh Le Nguyen 001 (Comput. Speech Lang., 2008)

Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis. - Hongbin Yan; Van-Nam Huynh; Tetsuya Murai; Yoshiteru Nakamori (Inf. Sci., 2008)

A Behavioral Decision Model Based on Fuzzy Targets in Decision Making Using Weather Information. - Akio Hiramatsu; Van-Nam Huynh; Yoshiteru Nakamori (J. Adv. Comput. Intell. Intell. Informatics, 2008)

A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making. - Van-Nam Huynh; Yoshiteru Nakamori; Jonathan Lawry (IEEE Trans. Fuzzy Syst., 2008)

Personalized Recommendation for Traditional Crafts Using Fuzzy Correspondence Analysis with Kansei Data and OWA Operator. - Mina Ryoke; Yoshiteru Nakamori; Van-Nam Huynh (Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008)

A Probability-Based Approach to Consumer Oriented Evaluation of Traditional Craft Items Using Kansai Data. - Hongbin Yan; Van-Nam Huynh; Yoshiteru Nakamori (Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008)

Decision Analysis with Fuzzy Targets. - Van-Nam Huynh; Yoshiteru Nakamori; Tetsuya Murai (Intelligent Decision Making: An AI-Based Approach, 2008)

An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids. - Van-Nam Huynh; Tu Bao Ho; Yoshiteru Nakamori (Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008)

On Decision Making under Interval Uncertainty: A New Justification of Hurwicz Optimism-Pessimism Approach and its Use in Group Decision Making. - Van-Nam Huynh; Yoshiteru Nakamori; Chenyi Hu; Vladik Kreinovich (ISMVL, 2009)

Discounting and Combination Scheme in Evidence Theory for Dealing with Conflict in Information Fusion. - Van-Nam Huynh (MDAI, 2009)

Target-Oriented Decision Analysis with Different Target Preferences. - Hongbin Yan; Van-Nam Huynh; Yoshiteru Nakamori (MDAI, 2009)

Decision Making Using Early Warning Information on Extreme Weather. - Akio Hiramatsu; Van-Nam Huynh; Yoshiteru Nakamori (SMC, 2009)

Decision Analysis with Hybrid Uncertain Performance Targets. - Van-Nam Huynh; Hongbin Yan; Yoshiteru Nakamori (SMC, 2009)

Interval/Probabilistic Uncertainty: Editorial. - Van-Nam Huynh; Vladik Kreinovich (Int. J. Approx. Reason., 2009)

Combination of Uncertain Class Membership Degrees with Probabilistic, Belief, and Possibilistic Measures. - Tru Hoang Cao; Van-Nam Huynh (IUM, 2010)

Linguistic Multi-Expert Decision Making Involving Semantic Overlapping. - Hongbin Yan; Van-Nam Huynh; Yoshiteru Nakamori (IUM, 2010)

A Comparative Study of Target-Based Evaluation of Traditional Craft Patterns Using Kansei Data. - Van-Nam Huynh; Yoshiteru Nakamori; Hongbin Yan (KSEM, 2010)

Adaptively entropy-based weighting classifiers in combination using Dempster-Shafer theory for word sense disambiguation. - Van-Nam Huynh; Nguyen Thanh Tri; Cuong Anh Le 001 (Comput. Speech Lang., 2010)

A Target-Based Decision-Making Approach to Consumer-Oriented Evaluation Model for Japanese Traditional Crafts. - Van-Nam Huynh; Hongbin Yan; Yoshiteru Nakamori (IEEE Trans. Engineering Management, 2010)

Notes on "Reducing Algorithm Complexity for Computing an Aggregate Uncertainty Measure". - Van-Nam Huynh; Yoshiteru Nakamori (IEEE Trans. Syst. Man Cybern. Part A, 2010)

A Computing with Words Based Approach to Multicriteria Energy Planning. - Hongbin Yan; Tieju Ma; Yoshiteru Nakamori; Van-Nam Huynh (IUKM, 2011)

Fuzzy Target-Based Multi-feature Evaluation of Traditional Craft Products. - Van-Nam Huynh; Hongbin Yan; Mina Ryoke; Yoshiteru Nakamori (KSEM, 2011)

A probabilistic model for linguistic multi-expert decision making involving semantic overlapping. - Hongbin Yan; Van-Nam Huynh; Yoshiteru Nakamori (Expert Syst. Appl., 2011)

On prioritized weighted aggregation in multi-criteria decision making. - Hongbin Yan; Van-Nam Huynh; Yoshiteru Nakamori; Tetsuya Murai (Expert Syst. Appl., 2011)

A Linguistic Screening Evaluation Model in New Product Development. - Van-Nam Huynh; Yoshiteru Nakamori (IEEE Trans. Engineering Management, 2011)

Integrated uncertainty management for decision making. - Van-Nam Huynh; Jonathan Lawry; Yoshiteru Nakamori (Ann. Oper. Res., 2012)

A group nonadditive multiattribute consumer-oriented Kansei evaluation model with an application to traditional crafts. - Hongbin Yan; Van-Nam Huynh; Yoshiteru Nakamori (Ann. Oper. Res., 2012)

An extension of context model for representing vague knowledge. - Van-Nam Huynh; Sadaaki Miyamoto; Yoshiteru Nakamori (Int. J. Reason. based Intell. Syst., 2012)

Applying OWA Operator to Model Group Behaviors in Uncertain QFD. - Hongbin Yan; Tieju Ma; Van-Nam Huynh (IUKM, 2013)

Paragraph Alignment for English-Vietnamese Parallel E-Books. - Quang-Hung Le; Duy Cuong Nguyen; Duc-Hong Pham; Anh-Cuong Le 001; Van-Nam Huynh (KSE (2), 2013)

Parallel phrase extraction from English-Vietnamese parallel corpora. - Quang-Hung Le; Anh-Cuong Le 001; Van-Nam Huynh (RIVF, 2013)

Uncertainty in financial econometrics: Editorial. - Van-Nam Huynh; Vladik Kreinovich (Int. J. Approx. Reason., 2013)

Non-additive multi-attribute fuzzy target-oriented decision analysis. - Hongbin Yan; Van-Nam Huynh; Tieju Ma; Yoshiteru Nakamori (Inf. Sci., 2013)

A fuzzy linguistic representation model for decision making under uncertainty. - Wen-Tao Guo; Van-Nam Huynh (IEEM, 2014)

Automatically Learning Patterns in Subjectivity Classification for Vietnamese. - Tran-Thai Dang; Nguyen Thi Xuan Huong; Anh-Cuong Le 001; Van-Nam Huynh (KSE, 2014)

A Community-Based Collaborative Filtering System Dealing with Sparsity Problem and Data Imperfections. - Van-Doan Nguyen; Van-Nam Huynh (PRICAI, 2014)

Coping with Group Behaviors in Uncertain Quality Function Deployment. - Hongbin Yan; Tieju Ma; Van-Nam Huynh (Decis. Sci., 2014)

A construction of sound semantic linguistic scales using 4-tuple representation of term semantics. - Cat-Ho Nguyen; Van-Nam Huynh; Witold Pedrycz (Int. J. Approx. Reason., 2014)

A Reliably Weighted Collaborative Filtering System. - Van-Doan Nguyen; Van-Nam Huynh (ECSQARU, 2015)

Evidence Combination Focusing on Significant Focal Elements for Recommender Systems. - Van-Doan Nguyen; Van-Nam Huynh (IUKM, 2015)

Knowledge and Systems Engineering - KSE 2013: Editorial. - Van-Nam Huynh; Son Bao Pham (Data Knowl. Eng., 2015)

An Interval Linguistic Distribution Model for Multiple Attribute Decision Making Problems with Incomplete Linguistic Information. - Wen-Tao Guo; Van-Nam Huynh; Yoshiteru Nakamori (Int. J. Knowl. Syst. Sci., 2015)

Using Conditional Copula to Estimate Value-at-Risk in Vietnam's Foreign Exchange Market. - Vu-Linh Nguyen; Van-Nam Huynh (Econometrics of Risk, 2015)

Integrating with Social Network to Enhance Recommender System Based-on Dempster-Shafer Theory. - Van-Doan Nguyen; Van-Nam Huynh (CSoNet, 2016)

A k-Means-Like Algorithm for Clustering Categorical Data Using an Information Theoretic-Based Dissimilarity Measure. - Thu-Hien Thi Nguyen; Van-Nam Huynh (FoIKS, 2016)

A linguistic partner evaluation model in tourism supply chain networks. - Narongsak Pongsathornwiwat; Van-Nam Huynh; Thanaruk Theeramunkong; Chawalit Jeenanunta (FUZZ-IEEE, 2016)

On Information Fusion in Recommender Systems Based on Dempster-Shafer Theory. - Van-Doan Nguyen; Van-Nam Huynh (ICTAI, 2016)

Noise-Averse Combination Method. - Van-Doan Nguyen; Van-Nam Huynh (ICTAI, 2016)

Estimating Asymmetric Product Attribute Weights in Review Mining. - Wei Ou; Anh-Cuong Le 001; Van-Nam Huynh (IUKM, 2016)

A Hybrid Model of ARIMA, ANNs and k-Means Clustering for Time Series Forecasting. - Warut Pannakkong; Van Hai Pham; Van-Nam Huynh (IUKM, 2016)

Rating Supervised Latent Topic Model for Aspect Discovery and Sentiment Classification in On-Line Review Mining. - Wei Ou; Van-Nam Huynh (MDAI, 2016)

Suitable Aggregation Operator for a Realistic Supplier Selection Model Based on Risk Preference of Decision Maker. - Sirin Suprasongsin; Pisal Yenradee; Van-Nam Huynh (MDAI, 2016)

A Linguistic Representation Method for Kansei Data. - Sapa Chanyachatchawan; Hongbin Yan; Songsak Sriboonchitta; Van-Nam Huynh (SCIS&ISIS, 2016)

Mining closed high utility itemsets in uncertain databases. - Nguyen Bui; Bay Vo; Van-Nam Huynh; Chun-Wei Lin 001; Loan T. T. Nguyen (SoICT, 2016)

Knowledge-Scientific Evaluation of a Social Service System. - Fei Meng; Yoshiteru Nakamori; Van-Nam Huynh (Int. J. Knowl. Syst. Sci., 2016)

ARIMA Versus Artificial Neural Network for Thailand's Cassava Starch Export Forecasting. - Warut Pannakkong; Van-Nam Huynh; Songsak Sriboonchitta (Causal Inference in Econometrics, 2016)

Mining Periodic High Utility Sequential Patterns. - Tai Dinh; Van-Nam Huynh; Bac Le (ACIIDS (1), 2017)

A Hybrid Model of ARIMA and ANN with Discrete Wavelet Transform for Time Series Forecasting. - Warut Pannakkong; Van-Nam Huynh (MDAI, 2017)

Knowledge Management in Graduate Research. - Jing Sun; Van-Nam Huynh; Yoshiteru Nakamori; Jianguo Wu; Jing Tian; Jianwen Xiang (QRS Companion, 2017)

A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty. - Wen-Tao Guo; Van-Nam Huynh; Songsak Sriboonchitta (Ann. Oper. Res., 2017)

Recent advances of uncertainty management in knowledge modelling and decision making. - Van-Nam Huynh (Ann. Oper. Res., 2017)

A stochastic dominance based approach to consumer-oriented Kansei evaluation with multiple priorities. - Hongbin Yan; Tieju Ma; Songsak Sriboonchitta; Van-Nam Huynh (Ann. Oper. Res., 2017)

Using community preference for overcoming sparsity and cold-start problems in collaborative filtering system offering soft ratings. - Van-Doan Nguyen; Songsak Sriboonchitta; Van-Nam Huynh (Electron. Commer. Res. Appl., 2017)

Two-probabilities focused combination in recommender systems. - Van-Doan Nguyen; Van-Nam Huynh (Int. J. Approx. Reason., 2017)

A Novel Hybridization of ARIMA, ANN, and K-Means for Time Series Forecasting. - Warut Pannakkong; Van Hai Pham; Van-Nam Huynh (Int. J. Knowl. Syst. Sci., 2017)

Developing Evaluation Criteria for Partner Selection in Tourism Supply Chain Networks. - Narongsak Pongsathornwiwat; Van-Nam Huynh; Chawalit Jeenanunta (Int. J. Knowl. Syst. Sci., 2017)

A Knowledge Management Approach to Evaluation of Ability and Environment for Graduate Research. - Jing Sun; Jianguo Wu; Jing Tian; Van-Nam Huynh; Yoshiteru Nakamori (Int. J. Knowl. Syst. Sci., 2017)

A linguistic representation based approach to modelling Kansei data and its application to consumer-oriented evaluation of traditional products. - Sapa Chanyachatchawan; Hongbin Yan; Songsak Sriboonchitta; Van-Nam Huynh (Knowl. Based Syst., 2017)

Knowledge-Based Learning for Solving Vehicle Routing Problem. - Thananut Phiboonbanakit; Teerayut Horanont; Thepchai Supnithi; Van-Nam Huynh (UbiComp/ISWC Adjunct, 2018)

Sensory Quality Assessment of Food Using Active Learning. - Nhat-Vinh Lu; Van-Nam Huynh; Takaya Yuizono; Trung-Ky Nguyen (IUKM, 2018)

Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms. - Sadaaki Miyamoto; Van-Nam Huynh; Shuhei Fujiwara (IUKM, 2018)

A New Context-Based Similarity Measure for Categorical Data Using Information Theory. - Thanh-Phu Nguyen; Mina Ryoke; Van-Nam Huynh (IUKM, 2018)

k-CCM: A Center-Based Algorithm for Clustering Categorical Data with Missing Values. - Duy-Tai Dinh; Van-Nam Huynh (MDAI, 2018)

Optimal Clustering with Twofold Memberships. - Sadaaki Miyamoto; Jong Moon Choi; Yasunori Endo; Van-Nam Huynh (MDAI, 2018)

Balancing Assembly Lines and Matching Demand Through Worker Reallocations. - Randall Mauricio Pérez-Wheelock; Van-Nam Huynh (MDAI, 2018)

A New Context-Based Clustering Framework for Categorical Data. - Thanh-Phu Nguyen; Duy-Tai Dinh; Van-Nam Huynh (PRICAI (1), 2018)

An efficient algorithm for mining periodic high-utility sequential patterns. - Duy-Tai Dinh; Bac Le; Philippe Fournier-Viger; Van-Nam Huynh (Appl. Intell., 2018)

Training attractive attribute classifiers based on opinion features extracted from review data. - Wei Ou; Van-Nam Huynh; Songsak Sriboonchitta (Electron. Commer. Res. Appl., 2018)

An efficient algorithm for Hiding High Utility Sequential Patterns. - Bac Le; Duy-Tai Dinh; Van-Nam Huynh; Quang-Minh Nguyen; Philippe Fournier-Viger (Int. J. Approx. Reason., 2018)

Grading Sewing Operator Skill Using Principal Component Analysis and Ordinal Logistic Regression. - Thanh Quynh Le; Van-Nam Huynh (Int. J. Knowl. Syst. Sci., 2018)

Joint Aspect Discovery, Sentiment Classification, Aspect-Level Ratings and Weights Approximation for Recommender Systems by Rating Supervised Latent Topic Model. - Wei Ou; Van-Nam Huynh (J. Adv. Comput. Intell. Intell. Informatics, 2018)

A Three-Dimensional Fuzzy Linguistic Evaluation Model. - Sirin Suprasongsin; Van-Nam Huynh; Pisal Yenradee (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Suitable Aggregation Models Based on Risk Preferences for Supplier Selection and Order Allocation Problem. - Sirin Suprasongsin; Pisal Yenradee; Van-Nam Huynh; Chayakrit Charoensiriwath (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Detecting abnormal behavior in the transportation planning using long short term memories and a contextualized dynamic threshold. - Thananut Phiboonbanakit; Van-Nam Huynh; Teerayut Horanont; Thepchai Supnithi (UbiComp/ISWC Adjunct, 2019)

Three Valued Representation of Opinions in Affective Design. - Jonathan Lawry; Van-Nam Huynh; Chris A. McMahon (IUKM, 2019)

Averaged Logits: An Weakly-Supervised Approach to Use Ratings to Train Sentence-Level Sentiment Classifiers. - Xiaoyu Tang; Wei Ou; Van-Nam Huynh (IUKM, 2019)

Measuring Hotel Review Sentiment: An Aspect-Based Sentiment Analysis Approach. - Thang Tran; Hung Ba; Van-Nam Huynh (IUKM, 2019)

Human Density Estimation by Exploiting Deep Spatial Contextual Information. - Chau-Phuc-Thinh Phan; Anh Hoang; Doan-Phuc Phan; Huu-Hung Dao; Van-Nam Huynh (IVCNZ, 2019)

Learning Individual and Group Preferences in Abstract Argumentation. - Nguyen Duy Hung; Van-Nam Huynh (PRICAI (1), 2019)

A novel non-parametric method for time series classification based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging. - Tuan Minh Tran; Xuan-May Thi Le; Hien T. Nguyen; Van-Nam Huynh (Eng. Appl. Artif. Intell., 2019)

An uncertain target-oriented QFD approach to service design based on service standardization with an application to bank window service. - Hongbin Yan; Xiang-Sheng Meng; Tieju Ma; Van-Nam Huynh (IISE Trans., 2019)

Uncertainty Management in Machine Learning Applications. - Van-Nam Huynh (Int. J. Approx. Reason., 2019)

A Novel Hybrid Autoregressive Integrated Moving Average and Artificial Neural Network Model for Cassava Export Forecasting. - Warut Pannakkong; Van-Nam Huynh; Songsak Sriboonchitta (Int. J. Comput. Intell. Syst., 2019)

A Framework for a Practical Nurse Scheduling Approach: A Case of Operating Room of a Hospital in Thailand. - Pavinee Rerkjirattikal; Van-Nam Huynh; Sun Olapiriyakul; Thepchai Supnithi (AHFE (8), 2020)

Analysis and Feedback of Movement in Manual Assembly Process. - Raveekiat Singhaphandu; Van-Nam Huynh; Warut Pannakkong (AHFE (8), 2020)

A New Classification Technique Based on the Combination of Inner Evidence. - Thanh-Phu Nguyen; Van-Nam Huynh (IUKM, 2020)

An Evidential Reasoning Framework for User Profiling Using Short Texts. - Duc-Vinh Vo; Anh Hoang; Van-Nam Huynh (IUKM, 2020)

Topics in Financial Filings and Bankruptcy Prediction with Distributed Representations of Textual Data. - Ba-Hung Nguyen; Kiyoaki Shirai; Van-Nam Huynh (ECML/PKDD (5), 2020)

A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems. - Kwanjira Kaewfak; Van-Nam Huynh; Veeris Ammarapala; Nantaporn Ratisoontorn (IEEE Access, 2020)

GSIC: A New Interpretable System for Knowledge Exploration and Classification. - Thanh-Phu Nguyen; Su Nguyen; Damminda Alahakoon; Van-Nam Huynh (IEEE Access, 2020)

An Efficient Method for Mining Closed Potential High-Utility Itemsets. - Bay Vo; Loan T. T. Nguyen; Nguyen Bui; Trinh D. D. Nguyen; Van-Nam Huynh; Tzung-Pei Hong (IEEE Access, 2020)

A weight-consistent model for fuzzy supplier selection and order allocation problem. - Sirin Suprasongsin; Pisal Yenradee; Van-Nam Huynh (Ann. Oper. Res., 2020)

k-PbC: an improved cluster center initialization for categorical data clustering. - Duy-Tai Dinh; Van-Nam Huynh (Appl. Intell., 2020)

Mining top-k frequent patterns from uncertain databases. - Tuong Le; Bay Vo; Van-Nam Huynh; Ngoc Thanh Nguyen 001; Sung Wook Baik (Appl. Intell., 2020)

Incorporating Active Learning into Machine Learning Techniques for Sensory Evaluation of Food. - Nhat-Vinh Lu; Roengchai Tansuchat; Takaya Yuizono; Van-Nam Huynh (Int. J. Comput. Intell. Syst., 2020)

On Sampling Techniques for Corporate Credit Scoring. - Hung Ba Nguyen; Van-Nam Huynh (J. Adv. Comput. Intell. Intell. Informatics, 2020)

Integrating Community Context Information Into a Reliably Weighted Collaborative Filtering System Using Soft Ratings. - Van-Doan Nguyen; Van-Nam Huynh; Songsak Sriboonchitta (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Analyzing the Relationship Between Service Innovation and Customer Value Co-creation Intention: The Case of Mobile Banking. - Nu Dieu Khue Ngo; Youji Kohda; Van-Nam Huynh (AHFE (8), 2021)

Discovering Topics of Interest on Steam Community Using an LDA Approach. - Yang Yu 046; Ba-Hung Nguyen; Fangyu Yu; Van-Nam Huynh (AHFE (8), 2021)

Revealed Preference Argumentation and Applications in Consumer Behaviour Analyses. - Nguyen Duy Hung; Van-Nam Huynh (EUMAS, 2021)

Kernel-Based k-Representatives Algorithm for Fuzzy Clustering of Categorical Data. - Toan Nguyen Mau; Van-Nam Huynh (FUZZ-IEEE, 2021)

Bi-objective Optimization Model for Determining Shelter Location-allocation in Humanitarian Relief Logistics. - Panchalee Praneetpholkrang; Van-Nam Huynh; Sarunya Kanjanawattana (ICORES, 2021)

Esports Game Updates and Player Perception: Data Analysis of PUBG Steam Reviews. - Yang Yu 046; Ba-Hung Nguyen; Fangyu Yu; Van-Nam Huynh (KSE, 2021)

Mass-Based Similarity Weighted k-Neighbor for Class Imbalance. - Anh Hoang; Toan Nguyen Mau; Van-Nam Huynh (MDAI, 2021)

Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering. - Toan Nguyen Mau; Van-Nam Huynh (MDAI, 2021)

A Mass-Based Approach for Local Outlier Detection. - Anh Hoang; Toan Nguyen Mau; Duc-Vinh Vo; Van-Nam Huynh (IEEE Access, 2021)

A Hybrid Reinforcement Learning-Based Model for the Vehicle Routing Problem in Transportation Logistics. - Thananut Phiboonbanakit; Teerayut Horanont; Van-Nam Huynh; Thepchai Supnithi (IEEE Access, 2021)

Preface: recent advances in knowledge modelling and decision making with uncertainties. - Van-Nam Huynh; Hongbin Yan (Ann. Oper. Res., 2021)

Revealed preference in argumentation: Algorithms and applications. - Nguyen Duy Hung; Van-Nam Huynh (Int. J. Approx. Reason., 2021)

Multi-objective Optimization of Freight Route Choices in Multimodal Transportation. - Kwanjira Kaewfak; Veeris Ammarapala; Van-Nam Huynh (Int. J. Comput. Intell. Syst., 2021)

An LSH-based k-representatives clustering method for large categorical data. - Toan Nguyen Mau; Van-Nam Huynh (Neurocomputing, 2021)

An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation. - Anh-Tu Tran; The-Dung Luong; Jessada Karnjana; Van-Nam Huynh (Neurocomputing, 2021)

An integrated framework of learning and evidential reasoning for user profiling using short texts. - Duc-Vinh Vo; Jessada Karnjana; Van-Nam Huynh (Inf. Fusion, 2021)

Clustering mixed numerical and categorical data with missing values. - Duy-Tai Dinh; Van-Nam Huynh; Songsak Sriboonchitta (Inf. Sci., 2021)

Evidence-based recommender system for high-entropy alloys. - Minh-Quyet Ha; Duong-Nguyen Nguyen; Viet Cuong Nguyen; Takahiro Nagata; Toyohiro Chikyow; Hiori Kino; Takashi Miyake; Thierry Denoeux; Van-Nam Huynh; Hieu-Chi Dam (Nat. Comput. Sci., 2021)

A Data-Driven Weighting Method Based on DEA Model for Evaluating Innovation Capability in Banking. - Nu Dieu Khue Ngo; Van-Nam Huynh (IUKM, 2022)

Job-Satisfaction Enhancement in Nurse Scheduling: A Case of Hospital Emergency Department in Thailand. - Pavinee Rerkjirattikal; Raveekiat Singhaphandu; Van-Nam Huynh; Sun Olapiriyakul (IUKM, 2022)

Towards a Human-like Chatbot using Deep Adversarial Learning. - Quoc-Dai Luong Tran; Anh-Cuong Le 001; Van-Nam Huynh (KSE, 2022)

Learning Perceptual Position-Aware Shapelets for Time Series Classification. - Xuan-May Le; Minh-Tuan Tran; Van-Nam Huynh (ECML/PKDD (6), 2022)

A Multi-Criteria Collaborative Filtering Approach Using Deep Learning and Dempster-Shafer Theory for Hotel Recommendations. - Quang-Hung Le; Toan Nguyen Mau; Roengchai Tansuchat; Van-Nam Huynh (IEEE Access, 2022)

A Novel Cluster Prediction Approach Based on Locality-Sensitive Hashing for Fuzzy Clustering of Categorical Data. - Toan Nguyen Mau; Yasushi Inoguchi; Van-Nam Huynh (IEEE Access, 2022)

A Demand-Driven Model for Reallocating Workers in Assembly Lines. - Randall Mauricio Pérez-Wheelock; Wei Ou; Pisal Yenradee; Van-Nam Huynh (IEEE Access, 2022)

3-Tuple Linguistic Distance-Based Model for a New Product go/no-go Evaluation. - Sirin Suprasongsin; Pisal Yenradee; Van-Nam Huynh; Suchada Rianmora (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022)

Textual analysis and corporate bankruptcy: A financial dictionary-based sentiment approach. - Ba-Hung Nguyen; Van-Nam Huynh (J. Oper. Res. Soc., 2022)

Inference Problem in Probabilistic Multi-label Classification. - Vu-Linh Nguyen; Xuan-Truong Hoang; Van-Nam Huynh (IUKM (2), 2023)

Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm. - Yang Yu 046; Tai Dinh; Fangyu Yu; Van-Nam Huynh (MEDI, 2023)

A Customer-Driven Evaluation Method for Service Innovation in Banking. - Nu Dieu Khue Ngo; Roengchai Tansuchat; Cu Pham-Van; Toan Nguyen Mau; Youji Kohda; Van-Nam Huynh (IEEE Access, 2023)

Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs). - Pakkaporn Saophan; Warut Pannakkong; Raveekiat Singhaphandu; Van-Nam Huynh (IEEE Access, 2023)

Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning. - Quoc-Dai Luong Tran; Anh-Cuong Le 001; Van-Nam Huynh (IEEE Access, 2023)

Mining Insights From Esports Game Reviews With an Aspect-Based Sentiment Analysis Framework. - Yang Yu 046; Duy-Tai Dinh; Ba-Hung Nguyen; Fangyu Yu; Van-Nam Huynh (IEEE Access, 2023)

A method for k-means-like clustering of categorical data. - Thu-Hien Thi Nguyen; Duy-Tai Dinh; Songsak Sriboonchitta; Van-Nam Huynh (J. Ambient Intell. Humaniz. Comput., 2023)

Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts. - Duc-Vinh Vo; Trung-Tin Tran; Kiyoaki Shirai; Van-Nam Huynh (IEEE Trans. Knowl. Data Eng., 2023)

Integrated preference argumentation and applications in consumer behaviour analyses. - Nguyen Duy Hung; Van-Nam Huynh (Int. J. Approx. Reason., 2023)

A Novel Privacy Preserving Framework for Training Dempster-Shafer Theory-Based Evidential Deep Neural Network. - Anh-Tu Tran; Van-Nam Huynh; Viet-Hung Dang (BELIEF, 2024)

Evaluating Patient Satisfaction Through Validated Predictive Classification Models. - Nittaya Chemkomnerd; Warut Pannakkong; Van-Nam Huynh; Tanatorn Tanantong (IIAI-AAI, 2024)

User-Centred Argumentation Analysis of Local Explanations in Explainable AI. - Nguyen Duy Hung; Van-Nam Huynh (MDAI, 2024)

Accelerate K-Mode Algorithms Using The Triangle Inequality. - Vu-Linh Nguyen; Toan Nguyen Mau; Van-Nam Huynh (SUM, 2024)

A Simulation-Based Multi-Objective Optimization Framework to Enhance Patient Satisfaction: A Case Study of Ophthalmology Department Management. - Nittaya Chemkomnerd; Warut Pannakkong; Tanatorn Tanantong; Van-Nam Huynh; Jessada Karnjana (IEEE Access, 2024)

A Manual Assembly Virtual Training System With Automatically Generated Augmented Feedback: Using the Comparison of Digitized Operator's Skill. - Raveekiat Singhaphandu; Warut Pannakkong; Van-Nam Huynh; Prachya Boonkwan (IEEE Access, 2024)

A comprehensive survey and taxonomy on privacy-preserving deep learning. - Anh-Tu Tran; The-Dung Luong; Van-Nam Huynh (Neurocomputing, 2024)

Aspect-level item recommendation based on user reviews with variational autoencoders. - Wei Ou; Van-Nam Huynh (Inf. Sci., 2024)

Evaluating Innovation Capability in Banking Under Uncertainty. - Nu Dieu Khue Ngo; Thanh Quynh Le; Roengchai Tansuchat; Toan Nguyen Mau; Van-Nam Huynh (IEEE Trans. Engineering Management, 2024)

Conditional variational autoencoder for query expansion in ad-hoc information retrieval. - Wei Ou; Van-Nam Huynh (Inf. Sci., 2024)

An information fusion based approach to context-based fine-tuning of GPT models. - Toan Nguyen Mau; Anh-Cuong Le 001; Duc-Hong Pham; Van-Nam Huynh (Inf. Fusion, 2024)

Preference-Based Extension Enforcement in Argumentation. - Nguyen Duy Hung; Van-Nam Huynh (CLAR, 2025)

Self-explaining Neural Network for Multi-criteria Sentiment Analysis. - Xuan-Truong Hoang; Vu-Linh Nguyen; Takayuki Kitagawa; Van-Nam Huynh (IUKM (1), 2025)

An Integration of OEE and OLE Based on Total Productive Maintenance to Reduce System Losses in Semi-automated Production. - Sathianphong Seedao; Warut Pannakkong; Van-Nam Huynh; Nuttapong Sanglerdsinlapachai; Fumio Kojima; Yoshiro Fukuda; Kuniaki Tanaka (IUKM (2), 2025)

Robust Classification in Bayesian Neural Networks. - Kim-Dung Tran; Xuan-Truong Hoang; Vu-Linh Nguyen; Sébastien Destercke; Van-Nam Huynh (IUKM (1), 2025)

A multi-thread simulated annealing for multi-objective vehicle routing problem with time windows and demand priority. - Thanapat Leelertkij; Jirachai Buddhakulsomsiri; Van-Nam Huynh (Comput. Ind. Eng., 2025)

Categorical data clustering: 25 years beyond K-modes. - Tai Dinh; Wong Hauchi; Philippe Fournier-Viger; Daniil Lisik; Minh-Quyet Ha; Hieu-Chi Dam; Van-Nam Huynh (Expert Syst. Appl., 2025)

Selection rules for new focal elements in the Dempster-Shafer evidence theory. - Matteo Brunelli; Rajith Perera Jayasuriya Kuranage; Van-Nam Huynh (Inf. Sci., 2025)

Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient. - Duy-Tai Dinh; Tsutomu Fujinami; Van-Nam Huynh (CoRR, 2025)

Synergistic Fusion of Multi-Source Knowledge via Evidence Theory for High-Entropy Alloy Discovery. - Minh-Quyet Ha; Dinh-Khiet Le; Duc-Anh Dao; Tien-Sinh Vu; Duong-Nguyen Nguyen; Viet-Cuong Nguyen; Hiori Kino; Van-Nam Huynh; Hieu-Chi Dam (CoRR, 2025)