D-Index & Metrics Best Publications
Computer Science
Taiwan
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 102 Citations 28,225 419 World Ranking 192 National Ranking 1

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Taiwan Leader Award

2022 - Research.com Computer Science in Taiwan Leader Award

Overview

What is he best known for?

The fields of study Shyi-Ming Chen is best known for:

  • VIKOR method
  • TOPSIS
  • Fuzzy logic

Shyi-Ming Chen studied Social psychology and Group decision-making that intersect with Law. His Law study frequently links to adjacent areas such as Group decision-making. Shyi-Ming Chen brings together Artificial intelligence and Operations research to produce work in his papers. Shyi-Ming Chen undertakes interdisciplinary study in the fields of Operations research and Artificial intelligence through his research. Shyi-Ming Chen conducts interdisciplinary study in the fields of Fuzzy logic and Algorithm through his research. He incorporates Algorithm and Fuzzy logic in his research. His research is interdisciplinary, bridging the disciplines of Similarity measure and Data mining. His study connects Data mining and Similarity measure. Shyi-Ming Chen undertakes multidisciplinary studies into Fuzzy set and Fuzzy number in his work.

His most cited work include:

  • Handling multicriteria fuzzy decision-making problems based on vague set theory (971 citations)
  • Forecasting enrollments based on fuzzy time series (947 citations)
  • Knowledge representation using fuzzy Petri nets (488 citations)

What are the main themes of his work throughout his whole career to date

His study brings together the fields of Pattern recognition (psychology) and Artificial intelligence. Shyi-Ming Chen undertakes multidisciplinary studies into Fuzzy logic and Algorithm in his work. Shyi-Ming Chen performs multidisciplinary studies into Algorithm and Data mining in his work. Shyi-Ming Chen undertakes interdisciplinary study in the fields of Data mining and Machine learning through his works. While working in this field, Shyi-Ming Chen studies both Machine learning and Fuzzy logic. His research ties Fuzzy rule and Fuzzy set together. His Fuzzy rule study frequently draws connections between adjacent fields such as Fuzzy set. His multidisciplinary approach integrates Fuzzy number and Neuro-fuzzy in his work. He merges Neuro-fuzzy with Fuzzy control system in his study.

Shyi-Ming Chen most often published in these fields:

  • Artificial intelligence (92.31%)
  • Fuzzy logic (78.21%)
  • Data mining (52.14%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Forecasting enrollments based on fuzzy time series

Shyi-Ming Chen.
Fuzzy Sets and Systems (1996)

1503 Citations

Handling multicriteria fuzzy decision-making problems based on vague set theory

Shyi-Ming Chen;Jiann-Mean Tan.
Fuzzy Sets and Systems (1994)

1425 Citations

Knowledge representation using fuzzy Petri nets

Shyi-Ming Chen;Jyh-Sheng Ke;Jin-Fu Chang.
IEEE Transactions on Knowledge and Data Engineering (1990)

736 Citations

FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES

Shyi-Ming Chen.
Cybernetics and Systems (2002)

639 Citations

Measures of similarity between vague sets

Shyi-Ming Chen.
Fuzzy Sets and Systems (1995)

593 Citations

Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers

Shi-Jay Chen;Shyi-Ming Chen.
IEEE Transactions on Fuzzy Systems (2003)

571 Citations

Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method

Shyi-Ming Chen;Li-Wei Lee.
Expert Systems With Applications (2010)

533 Citations

Handling forecasting problems using fuzzy time series

Jeng-Ren Hwang;Shyi-Ming Chen;Chia-Hoang Lee.
Fuzzy Sets and Systems (1998)

522 Citations

Temperature prediction using fuzzy time series

Shyi-Ming Chen;Jeng-Ren Hwang.
systems man and cybernetics (2000)

500 Citations

Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers

Shi-Jay Chen;Shyi-Ming Chen.
Applied Intelligence (2007)

394 Citations

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