Discovery of Fuzzy Sequential Patterns for Fuzzy Partitions in Quantitative Attributes. - Ruey-Shun Chen; Gwo-Hshiung Tzeng; C. C. Chen; Yi-Chung Hu (AICCSA, 2001)

Grey self-organizing feature maps. - Yi-Chung Hu; Ruey-Shun Chen; Yen-Tseng Hsu; Gwo-Hshiung Tzeng (Neurocomputing, 2002)

Generating learning sequences for decision makers through data mining and competence set expansion. - Yi-Chung Hu; Ruey-Shun Chen; Gwo-Hshiung Tzeng (IEEE Trans. Syst. Man Cybern. Part B, 2002)

A Fuzzy Data Mining Algorithm for Finding Sequential Patterns. - Yi-Chung Hu; Ruey-Shun Chen; Gwo-Hshiung Tzeng; Jia-Hourng Shieh (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003)

A novel method for discovering fuzzy sequential patterns using the simple fuzzy partition method. - Ruey-Shun Chen; Yi-Chung Hu (J. Assoc. Inf. Sci. Technol., 2003)

Discovering fuzzy association rules using fuzzy partition methods. - Yi-Chung Hu; Ruey-Shun Chen; Gwo-Hshiung Tzeng (Knowl. Based Syst., 2003)

Finding fuzzy classification rules using data mining techniques. - Yi-Chung Hu; Ruey-Shun Chen; Gwo-Hshiung Tzeng (Pattern Recognit. Lett., 2003)

Assessing weights of product attributes from fuzzy knowledge in a dynamic environment. - Yi-Chung Hu; Jian-Shiun Hu; Ruey-Shun Chen; Gwo-Hshiung Tzeng (Eur. J. Oper. Res., 2004)

Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining. - Yi-Chung Hu; Gwo-Hshiung Tzeng; Chin-Mi Chen (Inf. Sci., 2004)

Finding Simplified Fuzzy If-Then Rules for Function Approximation Problems Using a Fuzzy Data Mining Approach. - Yi-Chung Hu (Appl. Artif. Intell., 2005)

A new fuzzy-data mining method for pattern classification by principal component analysis. - Yi-Chung Hu (Cybern. Syst., 2005)

Applying Backpropagation Neural Networks to Bankruptcy Prediction. - Yi-Chung Hu; Fang-Mei Tseng (Int. J. Electron. Bus. Manag., 2005)

Finding useful fuzzy concepts for pattern classification using genetic algorithm. - Yi-Chung Hu (Inf. Sci., 2005)

Backpropagation multi-layer perceptron for incomplete pairwise comparison matrices in analytic hierarchy process. - Yi-Chung Hu; Jung-Fa Tsai (Appl. Math. Comput., 2006)

Genetic algorithm in designing fuzzy information retrieval-based classifier by principal component analysis. - Yi-Chung Hu (Comput. Ind. Eng., 2006)

A knowledge acquisition method for determining utilities of linguistic values for product factors. - Yi-Chung Hu (Eur. J. Oper. Res., 2006)

Determining membership functions and minimum fuzzy support in finding fuzzy association rules for classification problems. - Yi-Chung Hu (Knowl. Based Syst., 2006)

Grey relational analysis and radial basis function network for determining costs in learning sequences. - Yi-Chung Hu (Appl. Math. Comput., 2007)

Sugeno fuzzy integral for finding fuzzy if-then classification rules. - Yi-Chung Hu (Appl. Math. Comput., 2007)

Simple Fuzzy Grid Partition for Mining Multiple-level Fuzzy Sequential Patterns. - Yi-Chung Hu (Cybern. Syst., 2007)

On generalized geometric programming problems with non-positive variables. - Jung-Fa Tsai; Ming-Hua Lin; Yi-Chung Hu (Eur. J. Oper. Res., 2007)

Functional-link net with fuzzy integral for bankruptcy prediction. - Yi-Chung Hu; Fang-Mei Tseng (Neurocomputing, 2007)

Fusing Fuzzy Association Rule-Based Classifiers Using Sugeno Integral with Ordered Weighted Averaging Operators. - Yi-Chung Hu; Jung-Fa Tsai (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007)

Fuzzy integral-based perceptron for two-class pattern classification problems. - Yi-Chung Hu (Inf. Sci., 2007)

Classification performance evaluation of single-layer perceptron with Choquet integral-based TOPSIS. - Yi-Chung Hu (Appl. Intell., 2008)

Finding multiple solutions to general integer linear programs. - Jung-Fa Tsai; Ming-Hua Lin; Yi-Chung Hu (Eur. J. Oper. Res., 2008)

Nonadditive grey single-layer perceptron with Choquet integral for pattern classification problems using genetic algorithms. - Yi-Chung Hu (Neurocomputing, 2008)

Incorporating a non-additive decision making method into multi-layer neural networks and its application to financial distress analysis. - Yi-Chung Hu (Knowl. Based Syst., 2008)

A novel fuzzy classifier with Choquet integral-based grey relational analysis for pattern classification problems. - Yi-Chung Hu (Soft Comput., 2008)

Fuzzy multiple-criteria decision making in the determination of critical criteria for assessing service quality of travel websites. - Yi-Chung Hu (Expert Syst. Appl., 2009)

Evaluating classification performances of single-layer perceptron with a Choquet fuzzy integral-based neuron. - Yi-Chung Hu; Jung-Fa Tsai (Expert Syst. Appl., 2009)

Quadratic-interval Bass model for new product sales diffusion. - Fang-Mei Tseng; Yi-Chung Hu (Expert Syst. Appl., 2009)

Partitioned fuzzy integral nested logit model for the Taiwan's internet telephony market. - Fang-Mei Tseng; Yi-Chung Hu (Int. J. Comput. Math., 2009)

Mining Simplified Fuzzy if-then Rules for Pattern Classification. - Yi-Chung Hu; Fang-Mei Tseng (Int. J. Inf. Technol. Decis. Mak., 2009)

Functional-link nets with genetic-algorithm-based learning for robust nonlinear interval regression analysis. - Yi-Chung Hu (Neurocomputing, 2009)

Bankruptcy prediction using ELECTRE-based single-layer perceptron. - Yi-Chung Hu (Neurocomputing, 2009)

Pattern classification by multi-layer perceptron using fuzzy integral-based activation function. - Yi-Chung Hu (Appl. Soft Comput., 2010)

Choquet integral-based hierarchical networks for evaluating customer service perceptions on fast food stores. - Yi-Chung Hu; Hsiao-Chi Chen (Expert Syst. Appl., 2010)

Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks. - Fang-Mei Tseng; Yi-Chung Hu (Expert Syst. Appl., 2010)

A single-layer perceptron with PROMETHEE methods using novel preference indices. - Yi-Chung Hu (Neurocomputing, 2010)

Analytic network process for pattern classification problems using genetic algorithms. - Yi-Chung Hu (Inf. Sci., 2010)

Finding critical criteria of evaluating electronic service quality of Internet banking using fuzzy multiple-criteria decision making. - Yi-Chung Hu; Pen-Che Liao (Appl. Soft Comput., 2011)

Single-Layer Perceptron with Non-Additive Preference Indices and its Application to bankruptcy Prediction. - Hsiao-Chi Chen; Yi-Chung Hu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011)

A PROMETHEE-based classification method using concordance and discordance relations and its application to bankruptcy prediction. - Yi-Chung Hu; Chiung-Jung Chen (Inf. Sci., 2011)

Integrating multicriteria PROMETHEE II method into a single-layer perceptron for two-class pattern classification. - Yi-Chung Hu; Hsiao-Chi Chen (Neural Comput. Appl., 2011)

Flow-based grey single-layer perceptron with fuzzy integral. - Yi-Chung Hu; Jen-Hung Wang; Chia-Ying Chang (Neurocomputing, 2012)

A Novel Flow-Based Method using grey Relational Analysis for Pattern Classification. - Yi-Chung Hu (Int. J. Inf. Technol. Decis. Mak., 2013)

A Multicriteria Collaborative Filtering Approach Using the Indifference Relation and its Application to Initiator Recommendation for Group-Buying. - Yi-Chung Hu (Appl. Artif. Intell., 2014)

Nonadditive similarity-based single-layer perceptron for multi-criteria collaborative filtering. - Yi-Chung Hu (Neurocomputing, 2014)

Recommendation using neighborhood methods with preference-relation-based similarity. - Yi-Chung Hu (Inf. Sci., 2014)

Flow-based tolerance rough sets for pattern classification. - Yi-Chung Hu (Appl. Soft Comput., 2015)

Application of Recurrent Functional-Link-Based CMAC Networks for Identification and Prediction. - Yu-Lin Liao; Yi-Chung Hu; Ya-Fu Peng (IIAI-AAI, 2016)

Single Criterion Net Flow Using Concordance and Discordance Relations. - Yi-Chung Hu (Cybern. Syst., 2016)

Tolerance rough sets for pattern classification using multiple grey single-layer perceptrons. - Yi-Chung Hu (Neurocomputing, 2016)

Pattern classification using grey tolerance rough sets. - Yi-Chung Hu (Kybernetes, 2016)

A Novel Grey Prediction Model Combining Markov Chain with Functional-Link Net and Its Application to Foreign Tourist Forecasting. - Yi-Chung Hu; Peng Jiang; Yu-Jing Chiu; Jung-Fa Tsai (Inf., 2017)

Electricity consumption prediction using a neural-network-based grey forecasting approach. - Yi-Chung Hu (J. Oper. Res. Soc., 2017)

Forecasting energy demand using neural-network-based grey residual modification models. - Yi-Chung Hu; Peng Jiang (J. Oper. Res. Soc., 2017)

Grey prediction with residual modification using functional-link net and its application to energy demand forecasting. - Yi-Chung Hu (Kybernetes, 2017)

Multiple Criteria Decision Making and General Regression for Determining Influential Factors on S&P 500 Index Futures. - John Wei-Shan Hu; Yi-Chung Hu; Amber Chia-Hua Tsai (Symmetry, 2018)

Optimal Allocation of Virtual Machines in Cloud Computing. - Ming-Hua Lin; Jung-Fa Tsai; Yi-Chung Hu; Tzu-Hsuan Su (Symmetry, 2018)

An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China. - Yi-Chung Hu; Hang Jiang; Peng Jiang; Peiyi Kong (HCI (24), 2019)

Analyzing China's OFDI using a novel multivariate grey prediction model with Fourier series. - Hang Jiang; Yi-Chung Hu; Jan-Yan Lin; Peng Jiang (Int. J. Intell. Comput. Cybern., 2019)

Forecasting tourism demand by incorporating neural networks into Grey-Markov models. - Yi-Chung Hu; Peng Jiang; Ping-Chuan Lee (J. Oper. Res. Soc., 2019)

Identification of Key Factors Affecting Logistics Service Quality of Cross-border E-commerce. - Peng Jiang; Hang Jiang; Yi-Chung Hu; Chongen Liang; Shiyuan Wang (HCI (24), 2020)

Constructing grey prediction models using grey relational analysis and neural networks for magnesium material demand forecasting. - Yi-Chung Hu (Appl. Soft Comput., 2020)

Fuzzified grey prediction models using neural networks for tourism demand forecasting. - Yi-Chung Hu; Peng Jiang (Comput. Appl. Math., 2020)

A multivariate grey prediction model with grey relational analysis for bankruptcy prediction problems. - Yi-Chung Hu (Soft Comput., 2020)

Energy demand forecasting using a novel remnant GM(1, 1) model. - Yi-Chung Hu (Soft Comput., 2020)

Evaluating Critical Factors Influencing the Reliability of Emergency Logistics Systems Using Multiple-Attribute Decision Making. - Peng Jiang; Yixin Wang; Chao Liu; Yi-Chung Hu; Jingci Xie (Symmetry, 2020)

Integrating Nonlinear Interval Regression Analysis with a Remnant Grey Prediction Model for Energy Demand Forecasting. - Yi-Chung Hu; Yu-Jing Chiu; Ching-Ying Yu; Jung-Fa Tsai (Appl. Artif. Intell., 2021)

Forecasting tourism demand using fractional grey prediction models with Fourier series. - Yi-Chung Hu (Ann. Oper. Res., 2021)

Incorporating Grey Relational Analysis into Grey Prediction Models to Forecast the Demand for Magnesium Materials. - Yi-Chung Hu; Peng Jiang; Yu-Jing Chiu; Yen-Wei Ken (Cybern. Syst., 2021)

Bankruptcy prediction using multivariate grey prediction models. - Yi-Chung Hu; Peng Jiang; Hang Jiang; Jung-Fa Tsai (Grey Syst. Theory Appl., 2021)

Pattern classification using tolerance rough sets based on non-additive grey relational analysis and DEMATEL. - Peng Jiang; Wenbao Wang; Yi-Chung Hu; Yu-Jing Chiu; Shu-Ju Tsao (Grey Syst. Theory Appl., 2021)

Novel Fractional Grey Prediction Model with the Change-Point Detection for Overseas Talent Mobility Prediction. - Peng Jiang; Geng Wu; Yi-Chung Hu; Xue Zhang; Yining Ren (Axioms, 2022)

Neural-network-based interval grey prediction models with applications to forecasting the demand of printed circuit boards. - Yi-Chung Hu (Soft Comput., 2022)

Nonlinear interval regression analysis with neural networks and grey prediction for energy demand forecasting. - Yi-Chung Hu; Wen-Bao Wang (Soft Comput., 2022)

Evaluation of Risk Factors in the Armed Forces Physical Fitness Test. - Yu-Jing Chiu; Chien-Cheng Li; So-Ra Song; Yi-Chung Hu (HCI (29), 2023)

Nonadditive tourism forecast combination using grey relational analysis. - Yi-Chung Hu (Grey Syst. Theory Appl., 2023)

Forecast combination using grey prediction with fuzzy integral and time-varying weighting in tourism. - Yi-Chung Hu (Grey Syst. Theory Appl., 2023)

Constructing interval models using neural networks with non-additive combinations of grey prediction models in tourism demand. - Peng Jiang; Yi-Chung Hu (Grey Syst. Theory Appl., 2023)

Forecast combination using grey relational analysis and Choquet fuzzy integral for container throughput forecasting. - Geng Wu; Yi-Chung Hu; Yu-Jing Chiu; Peng Jiang; Rui Chi (Expert Syst. Appl., 2024)

Tourism forecast combination using weighting schemes with flow information among component models. - Yi-Chung Hu (Appl. Soft Comput., 2025)

Incorporating grey relational analysis into decomposition ensemble models for forecasting air passenger demand. - Yi-Chung Hu; Geng Wu; Jung-Fa Tsai (Grey Syst. Theory Appl., 2025)

Forecast combination with multivariate grey prediction for tourism demand forecasting. - Yi-Chung Hu; Geng Wu (Intell. Data Anal., 2025)