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Sanghyuk Lee

Работ: 16

School of Computing, New Uzbekistan University, Tashkent, Uzbekistan

  1. Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition

    Youpeng Yang, Sanghyuk Lee, Haolan Zhang +2

    СтатьяFuzzy and Soft Set TheoryIEEE Transactions on Fuzzy Systems2023Цитирований: 4
    ABI

  2. Time Series Signal Analysis With Information Granulation Based on Permutation Entropy: An Application to Electroencephalography Signals

    Youpeng Yang, Sanghyuk Lee, Haolan Zhang +1

    СтатьяNeural Networks and ApplicationsIEEE Transactions on Human-Machine Systems2025Цитирований: 2
    ABI

  3. Analysis on the Hesitation and its Application to Decision Making

    Youpeng Yang, Sanghyuk Lee, Kyeong Soo Kim +3

    СтатьяMulti-Criteria Decision MakingDecision Making Applications in Management and Engineering2024Цитирований: 2
    ABI

  4. Score Function Design for Decision Making using Conditional Kullback-Leibler Divergence

    Sanghyuk Lee, Eunmi Lee

    СтатьяImpact of AI and Big Data on Business and Society2024Цитирований: 2
    ABI

  5. A Novel Preference Scale Function Based on Poincaré Metric for Decision-Making

    Youpeng Yang, Sanghyuk Lee, Haolan Zhang +2

    СтатьяMulti-Criteria Decision Making2023Цитирований: 1
    ABI

  6. Relation on Hesitation in Intuitionistic Fuzzy Sets and Decision Making

    Sanghyuk Lee, Khumoyun Aminaddinov Ravshanovich, Witold Pedrycz

    СтатьяAdvanced Text Analysis Techniques2025Цитирований: 1
    ABI

  7. A Fusion Model: Toward a Virtual, Physical, and Cognitive Integration and Its Principles

    Haolan Zhang, Yun Xue, Yifan Lu +1

    СтатьяHuman-Automation Interaction and SafetyIEEE Consumer Electronics Magazine2023Цитирований: 0
    ABI

  8. Decision Making for the Intuitionistic Fuzzy Score Function with the KL-Divergence on Multi-criteria

    Sanghyuk Lee, Muzaffar Makhmudov

    ГлаваMulti-Criteria Decision MakingLecture notes in networks and systems2024Цитирований: 0
    ABI

  9. Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building

    Moon Keun Kim, Yang‐Seon Kim, Nuodi Fu +4

    СтатьяBuilding Energy and Comfort OptimizationEnergy Reports2025Цитирований: 0
    ABI

  10. Energy-efficient train control considering on-board energy storage based on convex optimization

    Yifeng Ding, Peng Yang, Yaoming Huang +3

    СтатьяRailway Systems and Energy EfficiencyInternational Journal of Rail Transportation2025Цитирований: 0
    ABI

  11. Distance Measures of Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition

    Youpeng Yang, Haolan Zhang, Sanghyuk Lee +1

    ГлаваMulti-Criteria Decision MakingLecture notes in computer science2025Цитирований: 0
    ABI

  12. Advanced Techniques for Electricity Consumption Prediction in Buildings Using Comparative Correlation Analysis, Data Normalization, and Long Short-Term Memory (Lstm) Networks: A Case Study of a U.S. Commercial Building

    Moon Keun Kim, Yang‐Seon Kim, Nuodi Fu +4

    ПрепринтEnergy Load and Power ForecastingSSRN Electronic Journal2025Цитирований: 0
    ABI

  13. Energy Demand Forecasting for Cultural Institutions: Comparative Analysis of ANNs, Ordinary LSTM, and Hybrid CNN-LSTM Models with Three Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums

    Nuodi Fu, Jaehee Lee, Moon Keun Kim +2

    ПрепринтConservation Techniques and StudiesSSRN Electronic Journal2025Цитирований: 0
    ABI

  14. Inclusion and Preference Analysis in Intuitionistic Fuzzy Sets: Application in Decision-Making

    Sanghyuk Lee, Eunmi Lee, Witold Pedrycz

    СтатьяIntuitionistic Fuzzy Systems ApplicationsInternational Journal of Fuzzy Systems2026Цитирований: 0
    ABI

  15. Dynamic Energy Demand Forecasting in a Norwegian Commercial Store Using Local Building Time-Series Data: CNN-LSTM and Transformer Architectures Compared

    이재희, Nuodi Fu, Moon Keun Kim +3

    ПрепринтEnergy Load and Power ForecastingSSRN Electronic Journal2026Цитирований: 0
    ABI

  16. A Systematic Review of Comparative Analysis of Machine Learning Models for Predicting Heating Demand and Electricity Usage with Weather Data in Buildings: Two Case Studies in Norway

    Jørgen Norø Sørensen, Jiying Liu, Moon Keun Kim +1

    ПрепринтBuilding Energy and Comfort OptimizationSSRN Electronic Journal2026Цитирований: 0
    ABI