Teacher Information (Degree and Achievements)

Teacher Details

YABUUCHI Yoshiyuki

Affiliation: Faculty of Data Science Department of Data Science

Job rank: Professor

Position: Deputy Dean of Faculty of Data Science

Researcher Information

Area of expertise

Software Computing, Multivariate Analysis, Technical Management

Courses in charge

Regression Analysis, Quantitative Data Analysis, Time Series Analysis, Mathematical Optimization, Data Analysis Exercise, DS Project, Graduation Research

Educational background

Graduate School of Osaka Institute of Technology

Acquired degree

Ph.D. (Engineering)

Affiliated Society

Japan Society of Intelligence and Intelligence, Society of Biomedical Fuzzy Systems, Japan Society of Operations Research, Japan Society of Management and Informatics, Japan Society of Management Systems, Japan Society of Artificial Intelligence, IEEE SMC

Research Keywords

Software 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 software computing methods

Main 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 Society of Management Systems
・Councilor, Japan Society of Intelligent Information Fazi
・Advisor, Institute of Biomedical Fuzzy Systems
・Secretary, Software Science Study Group of the Japan Intelligent Information Society