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2020 – today
- 2024
[j78]Geng Wu
, Yi-Chung Hu, Yu-Jing Chiu, Peng Jiang, Rui Chi:
Forecast combination using grey relational analysis and Choquet fuzzy integral for container throughput forecasting. Expert Syst. Appl. 252: 124170 (2024)- 2023
- [j77]Peng Jiang, Yi-Chung Hu:
Constructing interval models using neural networks with non-additive combinations of grey prediction models in tourism demand. Grey Syst. Theory Appl. 13(1): 58-77 (2023) - [j76]Yi-Chung Hu:
Nonadditive tourism forecast combination using grey relational analysis. Grey Syst. Theory Appl. 13(2): 277-296 (2023) - [j75]Yi-Chung Hu:
Forecast combination using grey prediction with fuzzy integral and time-varying weighting in tourism. Grey Syst. Theory Appl. 13(4): 808-827 (2023) - [c5]Yu-Jing Chiu, Chien-Cheng Li, So-Ra Song, Yi-Chung Hu:
Evaluation of Risk Factors in the Armed Forces Physical Fitness Test. HCI (29) 2023: 3-17 - 2022
- [j74]Peng Jiang, Geng Wu, Yi-Chung Hu, Xue Zhang, Yining Ren:
Novel Fractional Grey Prediction Model with the Change-Point Detection for Overseas Talent Mobility Prediction. Axioms 11(9): 432 (2022) - [j73]Yi-Chung Hu, Wen-Bao Wang:
Nonlinear interval regression analysis with neural networks and grey prediction for energy demand forecasting. Soft Comput. 26(14): 6529-6545 (2022) - [j72]Yi-Chung Hu:
Neural-network-based interval grey prediction models with applications to forecasting the demand of printed circuit boards. Soft Comput. 26(21): 11827-11838 (2022) - 2021
- [j71]Yi-Chung Hu, Yu-Jing Chiu, Ching-Ying Yu, Jung-Fa Tsai:
Integrating Nonlinear Interval Regression Analysis with a Remnant Grey Prediction Model for Energy Demand Forecasting. Appl. Artif. Intell. 35(15): 1490-1507 (2021) - [j70]Yi-Chung Hu:
Forecasting tourism demand using fractional grey prediction models with Fourier series. Ann. Oper. Res. 300(2): 467-491 (2021) - [j69]Yi-Chung Hu, Peng Jiang, Yu-Jing Chiu, Yen-Wei Ken:
Incorporating Grey Relational Analysis into Grey Prediction Models to Forecast the Demand for Magnesium Materials. Cybern. Syst. 52(6): 522-532 (2021) - [j68]Yi-Chung Hu, Peng Jiang, Hang Jiang, Jung-Fa Tsai:
Bankruptcy prediction using multivariate grey prediction models. Grey Syst. Theory Appl. 11(1): 46-62 (2021) - [j67]Peng Jiang, Wenbao Wang, Yi-Chung Hu, Yu-Jing Chiu, Shu-Ju Tsao:
Pattern classification using tolerance rough sets based on non-additive grey relational analysis and DEMATEL. Grey Syst. Theory Appl. 11(1): 166-182 (2021) - 2020
- [j66]Yi-Chung Hu:
Constructing grey prediction models using grey relational analysis and neural networks for magnesium material demand forecasting. Appl. Soft Comput. 93: 106398 (2020) - [j65]Yi-Chung Hu, Peng Jiang:
Fuzzified grey prediction models using neural networks for tourism demand forecasting. Comput. Appl. Math. 39(3) (2020) - [j64]Yi-Chung Hu:
A multivariate grey prediction model with grey relational analysis for bankruptcy prediction problems. Soft Comput. 24(6): 4259-4268 (2020) - [j63]Yi-Chung Hu:
Energy demand forecasting using a novel remnant GM(1, 1) model. Soft Comput. 24(18): 13903-13912 (2020) - [j62]Peng Jiang, Yixin Wang, Chao Liu, Yi-Chung Hu, Jingci Xie:
Evaluating Critical Factors Influencing the Reliability of Emergency Logistics Systems Using Multiple-Attribute Decision Making. Symmetry 12(7): 1115 (2020) - [c4]Peng Jiang, Hang Jiang, Yi-Chung Hu, Chongen Liang, Shiyuan Wang:
Identification of Key Factors Affecting Logistics Service Quality of Cross-border E-commerce. HCI (24) 2020: 384-396
2010 – 2019
- 2019
- [j61]Hang Jiang, Yi-Chung Hu, Jan-Yan Lin, Peng Jiang:
Analyzing China's OFDI using a novel multivariate grey prediction model with Fourier series. Int. J. Intell. Comput. Cybern. 12(3): 352-371 (2019) - [j60]Yi-Chung Hu, Peng Jiang, Ping-Chuan Lee:
Forecasting tourism demand by incorporating neural networks into Grey-Markov models. J. Oper. Res. Soc. 70(1): 12-20 (2019) - [c3]Yi-Chung Hu, Hang Jiang, Peng Jiang, Peiyi Kong:
An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China. HCI (24) 2019: 354-366 - 2018
- [j59]John Wei-Shan Hu, Yi-Chung Hu, Amber Chia-Hua Tsai:
Multiple Criteria Decision Making and General Regression for Determining Influential Factors on S&P 500 Index Futures. Symmetry 10(1): 5 (2018) - [j58]Ming-Hua Lin, Jung-Fa Tsai, Yi-Chung Hu, Tzu-Hsuan Su:
Optimal Allocation of Virtual Machines in Cloud Computing. Symmetry 10(12): 756 (2018) - 2017
- [j57]Yi-Chung Hu, Peng Jiang, Yu-Jing Chiu, Jung-Fa Tsai:
A Novel Grey Prediction Model Combining Markov Chain with Functional-Link Net and Its Application to Foreign Tourist Forecasting. Inf. 8(4): 126 (2017) - [j56]Yi-Chung Hu, Peng Jiang:
Forecasting energy demand using neural-network-based grey residual modification models. J. Oper. Res. Soc. 68(5): 556-565 (2017) - [j55]Yi-Chung Hu:
Electricity consumption prediction using a neural-network-based grey forecasting approach. J. Oper. Res. Soc. 68(10): 1259-1264 (2017) - [j54]Yi-Chung Hu:
Grey prediction with residual modification using functional-link net and its application to energy demand forecasting. Kybernetes 46(2): 349-363 (2017) - 2016
- [j53]Yi-Chung Hu:
Single Criterion Net Flow Using Concordance and Discordance Relations. Cybern. Syst. 47(3): 220-235 (2016) - [j52]Yi-Chung Hu:
Tolerance rough sets for pattern classification using multiple grey single-layer perceptrons. Neurocomputing 179: 144-151 (2016) - [j51]Yi-Chung Hu:
Pattern classification using grey tolerance rough sets. Kybernetes 45(2): 266-281 (2016) - [c2]Yu-Lin Liao, Yi-Chung Hu, Ya-Fu Peng:
Application of Recurrent Functional-Link-Based CMAC Networks for Identification and Prediction. IIAI-AAI 2016: 620-621 - 2015
- [j50]Yi-Chung Hu:
Flow-based tolerance rough sets for pattern classification. Appl. Soft Comput. 27: 322-331 (2015) - 2014
- [j49]Yi-Chung Hu:
A Multicriteria Collaborative Filtering Approach Using the Indifference Relation and its Application to Initiator Recommendation for Group-Buying. Appl. Artif. Intell. 28(10): 992-1008 (2014) - [j48]Yi-Chung Hu:
Nonadditive similarity-based single-layer perceptron for multi-criteria collaborative filtering. Neurocomputing 129: 306-314 (2014) - [j47]Yi-Chung Hu:
Recommendation using neighborhood methods with preference-relation-based similarity. Inf. Sci. 284: 18-30 (2014) - 2013
- [j46]Yi-Chung Hu:
A Novel Flow-Based Method using grey Relational Analysis for Pattern Classification. Int. J. Inf. Technol. Decis. Mak. 12(1): 75-94 (2013) - 2012
- [j45]Yi-Chung Hu, Jen-Hung Wang, Chia-Ying Chang:
Flow-based grey single-layer perceptron with fuzzy integral. Neurocomputing 91: 86-89 (2012) - 2011
- [j44]Yi-Chung Hu, Pen-Che Liao:
Finding critical criteria of evaluating electronic service quality of Internet banking using fuzzy multiple-criteria decision making. Appl. Soft Comput. 11(4): 3764-3770 (2011) - [j43]Hsiao-Chi Chen, Yi-Chung Hu:
Single-Layer Perceptron with Non-Additive Preference Indices and its Application to bankruptcy Prediction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(5): 843-861 (2011) - [j42]Yi-Chung Hu, Chiung-Jung Chen:
A PROMETHEE-based classification method using concordance and discordance relations and its application to bankruptcy prediction. Inf. Sci. 181(22): 4959-4968 (2011) - [j41]Yi-Chung Hu, Hsiao-Chi Chen:
Integrating multicriteria PROMETHEE II method into a single-layer perceptron for two-class pattern classification. Neural Comput. Appl. 20(8): 1263-1271 (2011) - 2010
- [j40]Yi-Chung Hu:
Pattern classification by multi-layer perceptron using fuzzy integral-based activation function. Appl. Soft Comput. 10(3): 813-819 (2010) - [j39]Fang-Mei Tseng, Yi-Chung Hu:
Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks. Expert Syst. Appl. 37(3): 1846-1853 (2010) - [j38]Yi-Chung Hu, Hsiao-Chi Chen:
Choquet integral-based hierarchical networks for evaluating customer service perceptions on fast food stores. Expert Syst. Appl. 37(12): 7880-7887 (2010) - [j37]Yi-Chung Hu:
A single-layer perceptron with PROMETHEE methods using novel preference indices. Neurocomputing 73(16-18): 2920-2927 (2010) - [j36]Yi-Chung Hu:
Analytic network process for pattern classification problems using genetic algorithms. Inf. Sci. 180(13): 2528-2539 (2010)
2000 – 2009
- 2009
- [j35]Yi-Chung Hu, Jung-Fa Tsai:
Evaluating classification performances of single-layer perceptron with a Choquet fuzzy integral-based neuron. Expert Syst. Appl. 36(2): 1793-1800 (2009) - [j34]Yi-Chung Hu:
Fuzzy multiple-criteria decision making in the determination of critical criteria for assessing service quality of travel websites. Expert Syst. Appl. 36(3): 6439-6445 (2009) - [j33]Fang-Mei Tseng, Yi-Chung Hu:
Quadratic-interval Bass model for new product sales diffusion. Expert Syst. Appl. 36(4): 8496-8502 (2009) - [j32]Fang-Mei Tseng, Yi-Chung Hu:
Partitioned fuzzy integral nested logit model for the Taiwan's internet telephony market. Int. J. Comput. Math. 86(8): 1283-1299 (2009) - [j31]Yi-Chung Hu, Fang-Mei Tseng:
Mining Simplified Fuzzy if-then Rules for Pattern Classification. Int. J. Inf. Technol. Decis. Mak. 8(3): 473-489 (2009) - [j30]Yi-Chung Hu:
Functional-link nets with genetic-algorithm-based learning for robust nonlinear interval regression analysis. Neurocomputing 72(7-9): 1808-1816 (2009) - [j29]Yi-Chung Hu:
Bankruptcy prediction using ELECTRE-based single-layer perceptron. Neurocomputing 72(13-15): 3150-3157 (2009) - 2008
- [j28]Yi-Chung Hu:
Classification performance evaluation of single-layer perceptron with Choquet integral-based TOPSIS. Appl. Intell. 29(3): 204-215 (2008) - [j27]Jung-Fa Tsai, Ming-Hua Lin, Yi-Chung Hu:
Finding multiple solutions to general integer linear programs. Eur. J. Oper. Res. 184(2): 802-809 (2008) - [j26]Yi-Chung Hu:
Nonadditive grey single-layer perceptron with Choquet integral for pattern classification problems using genetic algorithms. Neurocomputing 72(1-3): 331-340 (2008) - [j25]Yi-Chung Hu:
Incorporating a non-additive decision making method into multi-layer neural networks and its application to financial distress analysis. Knowl. Based Syst. 21(5): 383-390 (2008) - [j24]Yi-Chung Hu:
A novel fuzzy classifier with Choquet integral-based grey relational analysis for pattern classification problems. Soft Comput. 12(6): 523-533 (2008) - 2007
- [j23]Yi-Chung Hu:
Grey relational analysis and radial basis function network for determining costs in learning sequences. Appl. Math. Comput. 184(2): 291-299 (2007) - [j22]Yi-Chung Hu:
Sugeno fuzzy integral for finding fuzzy if-then classification rules. Appl. Math. Comput. 185(1): 72-83 (2007) - [j21]Yi-Chung Hu:
Simple Fuzzy Grid Partition for Mining Multiple-level Fuzzy Sequential Patterns. Cybern. Syst. 38(2): 203-228 (2007) - [j20]Jung-Fa Tsai, Ming-Hua Lin, Yi-Chung Hu:
On generalized geometric programming problems with non-positive variables. Eur. J. Oper. Res. 178(1): 10-19 (2007) - [j19]Yi-Chung Hu, Fang-Mei Tseng:
Functional-link net with fuzzy integral for bankruptcy prediction. Neurocomputing 70(16-18): 2959-2968 (2007) - [j18]Yi-Chung Hu, Jung-Fa Tsai:
Fusing Fuzzy Association Rule-Based Classifiers Using Sugeno Integral with Ordered Weighted Averaging Operators. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(6): 717-735 (2007) - [j17]Yi-Chung Hu:
Fuzzy integral-based perceptron for two-class pattern classification problems. Inf. Sci. 177(7): 1673-1686 (2007) - 2006
- [j16]Yi-Chung Hu, Jung-Fa Tsai:
Backpropagation multi-layer perceptron for incomplete pairwise comparison matrices in analytic hierarchy process. Appl. Math. Comput. 180(1): 53-62 (2006) - [j15]Yi-Chung Hu:
Genetic algorithm in designing fuzzy information retrieval-based classifier by principal component analysis. Comput. Ind. Eng. 51(1): 117-127 (2006) - [j14]Yi-Chung Hu:
A knowledge acquisition method for determining utilities of linguistic values for product factors. Eur. J. Oper. Res. 174(2): 945-958 (2006) - [j13]Yi-Chung Hu:
Determining membership functions and minimum fuzzy support in finding fuzzy association rules for classification problems. Knowl. Based Syst. 19(1): 57-66 (2006) - 2005
- [j12]Yi-Chung Hu:
Finding Simplified Fuzzy If-Then Rules for Function Approximation Problems Using a Fuzzy Data Mining Approach. Appl. Artif. Intell. 19(6): 601-619 (2005) - [j11]Yi-Chung Hu:
A new fuzzy-data mining method for pattern classification by principal component analysis. Cybern. Syst. 36(5): 527-547 (2005) - [j10]Yi-Chung Hu, Fang-Mei Tseng:
Applying Backpropagation Neural Networks to Bankruptcy Prediction. Int. J. Electron. Bus. Manag. 3(2): 97-103 (2005) - [j9]Yi-Chung Hu:
Finding useful fuzzy concepts for pattern classification using genetic algorithm. Inf. Sci. 175(1-2): 1-19 (2005) - 2004
- [j8]Yi-Chung Hu, Jian-Shiun Hu, Ruey-Shun Chen, Gwo-Hshiung Tzeng:
Assessing weights of product attributes from fuzzy knowledge in a dynamic environment. Eur. J. Oper. Res. 154(1): 125-143 (2004) - [j7]Yi-Chung Hu, Gwo-Hshiung Tzeng, Chin-Mi Chen:
Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining. Inf. Sci. 159(1-2): 69-86 (2004) - 2003
- [j6]Yi-Chung Hu, Ruey-Shun Chen, Gwo-Hshiung Tzeng, Jia-Hourng Shieh:
A Fuzzy Data Mining Algorithm for Finding Sequential Patterns. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 11(2): 173-194 (2003) - [j5]Ruey-Shun Chen, Yi-Chung Hu:
A novel method for discovering fuzzy sequential patterns using the simple fuzzy partition method. J. Assoc. Inf. Sci. Technol. 54(7): 660-670 (2003) - [j4]Yi-Chung Hu, Ruey-Shun Chen, Gwo-Hshiung Tzeng:
Discovering fuzzy association rules using fuzzy partition methods. Knowl. Based Syst. 16(3): 137-147 (2003) - [j3]Yi-Chung Hu, Ruey-Shun Chen, Gwo-Hshiung Tzeng:
Finding fuzzy classification rules using data mining techniques. Pattern Recognit. Lett. 24(1-3): 509-519 (2003) - 2002
- [j2]Yi-Chung Hu, Ruey-Shun Chen, Yen-Tseng Hsu, Gwo-Hshiung Tzeng:
Grey self-organizing feature maps. Neurocomputing 48(1-4): 863-877 (2002) - [j1]Yi-Chung Hu, Ruey-Shun Chen, Gwo-Hshiung Tzeng:
Generating learning sequences for decision makers through data mining and competence set expansion. IEEE Trans. Syst. Man Cybern. Part B 32(5): 679-686 (2002) - 2001
- [c1]Ruey-Shun Chen, Gwo-Hshiung Tzeng, C. C. Chen, Yi-Chung Hu:
Discovery of Fuzzy Sequential Patterns for Fuzzy Partitions in Quantitative Attributes. AICCSA 2001: 144-150
Coauthor Index
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