H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 91 Citations 24,759 354 World Ranking 238 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

The scientist’s investigation covers issues in Fuzzy number, Artificial intelligence, Fuzzy set operations, Fuzzy logic and Fuzzy classification. His Fuzzy number research incorporates themes from Risk analysis and Multicriteria analysis. Shyi-Ming Chen interconnects Machine learning and Pattern recognition in the investigation of issues within Artificial intelligence.

His work deals with themes such as Defuzzification and Data mining, which intersect with Fuzzy set operations. His work carried out in the field of Fuzzy logic brings together such families of science as Algorithm, Series, Interval and Rule-based system. His study in Type-2 fuzzy sets and systems, Fuzzy mathematics and Fuzzy measure theory is carried out as part of his studies in Fuzzy classification.

His most cited work include:

  • Handling multicriteria fuzzy decision-making problems based on vague set theory (891 citations)
  • Forecasting enrollments based on fuzzy time series (806 citations)
  • Knowledge representation using fuzzy Petri nets (470 citations)

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

Artificial intelligence, Fuzzy number, Fuzzy set operations, Fuzzy classification and Fuzzy logic are his primary areas of study. His Artificial intelligence research incorporates elements of Machine learning and Pattern recognition. Shyi-Ming Chen interconnects Discrete mathematics, Mathematical optimization and Arithmetic in the investigation of issues within Fuzzy number.

His Fuzzy set operations study integrates concerns from other disciplines, such as Adaptive neuro fuzzy inference system, Defuzzification, Data mining and Membership function. His Fuzzy classification research incorporates themes from Similarity measure and Neuro-fuzzy. His Fuzzy logic research includes elements of Knowledge representation and reasoning, Series, Interval and Time series.

He most often published in these fields:

  • Artificial intelligence (47.28%)
  • Fuzzy number (45.39%)
  • Fuzzy set operations (45.15%)

What were the highlights of his more recent work (between 2015-2021)?

  • Mathematical optimization (13.48%)
  • Intuitionistic fuzzy (7.57%)
  • Fuzzy logic (39.01%)

In recent papers he was focusing on the following fields of study:

Shyi-Ming Chen mainly focuses on Mathematical optimization, Intuitionistic fuzzy, Fuzzy logic, Preference and Fuzzy set. When carried out as part of a general Fuzzy logic research project, his work on Fuzzy number is frequently linked to work in Stock market index, therefore connecting diverse disciplines of study. As part of one scientific family, Shyi-Ming Chen deals mainly with the area of Fuzzy number, narrowing it down to issues related to the Neuro-fuzzy, and often Fuzzy mathematics.

His Fuzzy set study incorporates themes from Data mining, Degree, Similarity, Interval and Ranking. His Data mining research is multidisciplinary, incorporating elements of Fuzzy set operations, Fuzzy classification, Computational intelligence and Defuzzification. He has included themes like Machine learning and Membership function in his Fuzzy classification study.

Between 2015 and 2021, his most popular works were:

  • Group Decision Making Based on Heronian Aggregation Operators of Intuitionistic Fuzzy Numbers (159 citations)
  • Multiple attribute group decision making based on intuitionistic fuzzy interaction partitioned Bonferroni mean operators (153 citations)
  • Some intuitionistic fuzzy Dombi Bonferroni mean operators and their application to multi-attribute group decision making (132 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary areas of investigation include Intuitionistic fuzzy, Mathematical optimization, Operator, Multiple attribute and Preference. His Mathematical optimization study combines topics in areas such as Ranking, TOPSIS and Decision matrix. His Operator study combines topics from a wide range of disciplines, such as Discrete mathematics, Algebra, Fuzzy number, Operational laws and Bonferroni mean.

His Fuzzy set study is associated with Fuzzy logic. Defuzzification, Fuzzy classification and Fuzzy set operations are the primary areas of interest in his Fuzzy logic study. The various areas that Shyi-Ming Chen examines in his Data mining study include Fuzzy mathematics and Type-2 fuzzy sets and systems.

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

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

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

1287 Citations

Forecasting enrollments based on fuzzy time series

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

1282 Citations

Knowledge representation using fuzzy Petri nets

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

720 Citations

FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES

Shyi-Ming Chen.
Cybernetics and Systems (2002)

558 Citations

Measures of similarity between vague sets

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

533 Citations

Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers

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

523 Citations

Handling forecasting problems using fuzzy time series

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

478 Citations

Temperature prediction using fuzzy time series

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

441 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)

424 Citations

Similarity measures between vague sets and between elements

Shyi-Ming Chen.
systems man and cybernetics (1997)

355 Citations

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