Applied mathematics, computational logic mathematics, rough set theory, table data analysis

Linear algebraic, analysis, table data mathematical analysis, table data mathematical analysis exercises

1982 Graduated from the Department of Mathematics, Faculty of Science, Kyushu University
1987 Department of Information Systems, Graduate School of Science and Engineering, Kyushu University
　　　　 Acquired doctoral course credits
　　　 　Assistant Professor, Kyushu Institute of Technology
2024 Professor Emeritus of Kyushu Institute of Technology
　　　　 Professor, Shimonoseki City University

1989 Doctor of Science (Kyushu University)

International Rough Association, IEEE, Japanese Society of Intelligence and Intelligence Society, Japanese Society of Mathematics

Rough sets and granular calculations, table data analysis, rule generation, incomplete information, NIS-apoli algorithms, decision support, machine learning by rule generation

"Roughset Non-Determination Information Analysis (RNIA) and its Application"
We are conducting research to generate dependencies in tabular data as a rule, and propose and implement NIS-appori algorithms in order to spread their generation functions to incomplete information. The rules obtained by RNIA will be used to support decision-making, complement missing values, identify and select characteristics, and identify dependencies of attributes. Since table data can be processed uniformly, it is highly versatile, and discrete value table data, which is difficult to define average and dispersion, it is thought that it will also lead to complementing statistical methods.

[Thesis]
１．Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules, Applied Soft Computing, Elsevier, 2025
https://doi.org/10.1016/j.asoc.2025.112842
２．Attempt for machine learning by Completion of missing values and rule generation in rough-set non-determined information analysis, Intelligence and Information Magazine, 2023, https://doi.org/10.3156/jsoft.35.4_746
３．Rough Set Non-Determined Information Analysis and NIS-APPOLI System - Rules Generation System based on Possible World Semantics - Intelligence and Information Magazine, 2020, https://doi.org/10.3156/jsoft.32.4_747
４．NIS-Apriori-based rule generation with three-way decisions and its application system in SQL, Information Sciences, 2020, https://doi.org/10.1016/j.ins.2018.09.008
５．Rough set-based rule generation and Apriori-based rule generation from table data sets: A survey and a combination， CAAI Trans. Intelligence Technology Magazine, 2019, https://doi.org/10.1049/trit.2019.0001

About 150 journals, international conference papers, etc.

Research on strengthening rough-set non-determination information analysis and utilization of generated rules
Research Fundamental Research (C) March 2025 - March 2028

8 representatives, etc. https://nrid.nii.ac.jp/ja/nrid/1000060201513/

[Lecture] An Overview of NIS-Apriori Based Data Mining and Its Software Tool in SQL (Plenary lecture)
The 2nd Asian Conference on Artificial Intelligence Technology, sponsored by CAAI TiT, Chongqing, China, 2018

5 invited lectures.


[Committee]
１．International Rough Meeting Society, Senior Member, Advisory Member
２．CAAI Tran. Intelligence Technology (assistant editor)
３．IJRSDA (International Advisory Board)
４．IJRIS (Editorial Board Member)
５．PC members of the International Conference IJCRS, ISMIS, IUKM, FIM, etc.
６．Secretary of the Japan Society for Intelligence and Information Faziy, Rough Collective Theory Research Group


Lecturer, Faculty of Engineering, Kyushu Institute of Technology, 2025

Applied Mathematical Laboratory

Roughset Non-Determination Information Analysis (RNIA) and its Application