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

Linear algebraics, analysis, table data mathematical analysis, table data mathematical analysis exercises

Graduated from the Department of Mathematics, Faculty of Science, Kyushu University in 1982.
1987 Department of Information Systems Science, Graduate School of Science and Engineering, Kyushu University
　　　　 Determination of Ph.D.
　　　 　Assistant Professor, Kyushu Institute of Technology
2024 Professor Emeritus, Kyushu Institute of Technology
　　　　 Professor, Shimonoseki City University

1989 Doctor of Science (Kyushu University)

International Raf Society, IEEE, Japanese Intelligence Society, Japanese Society of Mathematical Society

Raf set and granular calculation, table data analysis, rule generation, incomplete information, NIS-appoli algorithms, decision-making support, machine learning through rule generation

"Rough assembly non-determined information analysis (RNIA) and its application"
We are conducting research to generate dependencies in tabular data as rules, and propose and realize NIS-appori algorithms in order to spread the generation function to incomplete information. The rules obtained by RNIA are used to assist decision-making, supplement missing values, extract and select characteristics, and grasp attribute dependencies. Since table data can be processed uniformly, it has high versatility, and discrete value table data, which is difficult to define average and dispersion, will lead to complementing statistical methods.

[Thesis]
１．Efforts for machine learning by complementing 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
２．Rough-set non-determined information analysis and NIS-appoli system - rule generation system based on possible world semantics - Intelligence and Information Magazine, 2020, https://doi.org/10.3156/jsoft.32.4_747
３．NIS-Apriori-based rule generation with three-way decisions and their application system in SQL, Information Sciences, 2020, https://doi.org/10.1016/j.ins.2018.09.008
４．Rough set-based rule generation and Apriori-based rule generation from table data sets: A survey and a combination， CAAI Trans. Intelligence Technology, 2019, https://doi.org/10.1049/trit.2019.0001

Approximately 150 papers, such as journals, international conferences, etc.

Machine learning and its applications from incomplete information tables by rule generation
Scientific Research Fundamental Research (C) April 2020 to March 2024

7 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, hosted by CAAI TiT, China, Chongqing, 2018

5 invited lectures, etc.


[Committee]
１．International Raf Society, Senior Members, and Advisory Members
２．CAAI Tran. Intelligence Technology Magazine (Associate Editor)
３．International advisory board (IJRSDA)
４．IJRIS (Editerial board member)
５．International Conference PC members such as IJCRS, ISMIS, IUKM, FIM, etc.
６．Japan Intelligence Information Society, Secretary-General of the Rough Group Theoretical Research Group


2024 Part-time lecturer (Statistics, Linear Mathematics B) Faculty of Engineering, Kyushu Institute of Technology

Applied Mathematical Laboratory

Rough assembly non-determined information analysis (RNIA) and its applications