World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
13451
World Ranking
5259
National Ranking
39

Research.com Recognitions

  • 1999 - Fellow of the American Statistical Association (ASA)

Overview

Ching-Hsue Cheng is affiliated with the National Yunlin University of Science and Technology in Taiwan. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics, and Information Systems.

Their work addresses a range of topics, particularly in techniques for handling imbalanced data classification, rough sets and fuzzy logic, and applications of artificial intelligence in healthcare. Additional research interests include stock market forecasting methods, financial distress and bankruptcy prediction, forecasting techniques, and energy load and power forecasting.

Cheng has published extensively across various venues, with frequent contributions to Symmetry, Computers in Biology and Medicine, Soft Computing, Multimedia Tools and Applications, and PLoS ONE.

  • A multiple combined method for rebalancing medical data with class imbalances, 2021, Computers in Biology and Medicine
  • A financial statement fraud model based on synthesized attribute selection and a dataset with missing values and imbalanced classes, 2021, Applied Soft Computing
  • A novel weighted distance threshold method for handling medical missing values, 2020, Computers in Biology and Medicine
  • A Time Series Model Based on Deep Learning and Integrated Indicator Selection Method for Forecasting Stock Prices and Evaluating Trading Profits, 2022, Systems
  • A novel clustering-based purity and distance imputation for handling medical data with missing values, 2021, Soft Computing

Collaborations have occurred frequently with several scholars, including Ming-Chi Tsai, Shu-Fen Huang, Jun-He Yang, Yunchun Wang, and Jing-Rong Chang.

In recognition of professional contributions, Cheng was awarded the title of Fellow of the American Statistical Association (ASA) in 1999.

Best Publications

  • A new approach for ranking fuzzy numbers by distance method

    Ching-Hsue Cheng

  • EVALUATING THE BEST MAIN BATTLE TANK USING FUZZY DECISION THEORY WITH LINGUISTIC CRITERIA EVALUATION

    Ching-Hsue Cheng;Yin Lin

  • Fuzzy hierarchical TOPSIS for supplier selection

    Jia-Wen Wang;Ching-Hsue Cheng;Kun-Cheng Huang

  • Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function

    Ching-Hsue Cheng

  • Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly

    Ming-Hung Shu;Ching-Hsue Cheng;Jing-Rong Chang

  • Classifying the segmentation of customer value via RFM model and RS theory

    Ching-Hsue Cheng;You-Shyang Chen

  • Evaluating attack helicopters by AHP based on linguistic variable weight

    Ching-Hsue Cheng;Kuo-Lung Yang;Chia-Lung Hwang

  • Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight

    Don-Lin Mon;Ching-Hsue Cheng;Jiann-Chern Lin

  • Fuzzy time-series based on adaptive expectation model for TAIEX forecasting

    Ching-Hsue Cheng;Tai-Liang Chen;Hia Jong Teoh;Chen-Han Chiang

  • Evaluating weapon systems using ranking fuzzy numbers

    Ching-Hsue Cheng

  • Fuzzy system reliability analysis by interval of confidence

    Ching-Hsue Cheng;Don-Lin Mon

  • A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting

    Ching-Hsue Cheng;Tai-Liang Chen;Liang-Ying Wei

  • Multi-attribute fuzzy time series method based on fuzzy clustering

    Ching-Hsue Cheng;Guang-Wei Cheng;Jia-Wen Wang

  • Evaluating the risk of failure using the fuzzy OWA and DEMATEL method

    Kuei-Hu Chang;Ching-Hsue Cheng

  • Entropy-based and trapezoid fuzzification-based fuzzy time series approaches for forecasting IT project cost

    Ching-Hsue Cheng;Jing-Rong Chang;Che-An Yeh

  • A risk assessment methodology using intuitionistic fuzzy set in FMEA

    Kuei-Hu Chang;Ching-Hsue Cheng

  • Fuzzy system reliability analysis for components with different membership functions

    Don-Lin Mon;Ching-Hsue Cheng

  • Selecting IS personnel use fuzzy GDSS based on metric distance method

    Ling-Show Chen;Ling-Show Chen;Ching-Hsue Cheng

  • Fuzzy time-series based on Fibonacci sequence for stock price forecasting

    Tai-Liang Chen;Ching-Hsue Cheng;Hia Jong Teoh;Hia Jong Teoh

  • Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets

    Hia Jong Teoh;Ching-Hsue Cheng;Hsing-Hui Chu;Jr-Shian Chen

Frequent Co-Authors

Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology

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