Teacher information (degree and Performance)

Teacher details

YABUUCHI Yoshiyuki

Affiliates: Faculty of Data Science Department of Data Science

Position: Professor

Position: Faculty of Data Science Vice Dean

Researcher Information

Specialized fields

Soft computing, multi-variable analysis, and technical management

Subjects in charge

Regression analysis, quantitative data analysis, time series analysis, mathematical optimization, data analysis exercises, DS project, graduation research

Educational background

Graduated from Osaka Institute of Technology (AIST)

Acquisition degree

Ph.D. (Engineering)

Affiliated Society

Japan Society of Intelligence Information Systems, Society of Biomedical and fuzzy Systems, Japan Operations Research Society, Japan Business Engineers, Institute of Management Information Science, Japan Society of Management Systems, Artificial Intelligence, IEEE SMC

Research Keywords

Soft computing, multivariate analysis, data analysis, technical management

Current research theme

・Multivariate analysis based on the concept of soft computing
・Economic and business analysis and decision-making using soft computing methods

Major Research Results and Activities

・Y. Yabuuchi, T. Kawaura and J. Watada, Analysis of the Relation between Health Statistics and Eating Habits in Japanese Prefectures using Fuzzy Robust Regression Model, Computers in Biology and Medicine, 72(1), 256-262, 2016.
・Y. Yabuuchi, T. Kawaura and J. Watada, Fuzzy Autocorrelation Model with Fuzzy Confidence Intervals and Its Evaluation, Journal of Advanced Computational Intelligence and Intelligent Informatics, 20(4), 512-520, 2016.
・Y. Yabuuchi and T. Kawaura, Japanese Economic Analysis using Fuzzy Autocorrelation Model with Fuzzy Confidence Intervals, International Journal of Advanced Mechatronic Systems, 7(1), 46-60, 2016.
・Y. Yabuuchi, Fuzzification Methods and Prediction Accuracy of Fuzzy Autocorrelation Model, Journal of Advanced Computational Intelligence and Intelligent Informatics, 21(6), 1009-1016, 2017.
・Y. Yabuuchi, Construction of a Possibilistic Regression Model based on Possibility Grades with Vagueness, Scientiae Mathematicae Japonicae, 81(3), 257-265, 2018.
・Y. Yabuuchi, Fuzzy Autoregressive Model Using Possibility Grade of Time Series and Its Applications, ICIC Express Letters, Part B: Applications, 14(7), 693-700, 2023.

Others (lectures, appearances, committee members, etc.)

・Editorial Member, The Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII)
・Councilor, Japan Management Systems Society
・Councilor, Japan Society of Intelligence and Information
・Advisor, Biomedical fuzzy Systems Society
・Secretary, Soft Science Research Group, Japan Society of Intelligence Information Fuzzy Society