Hiroshi Sakai received B.S., M.S. and D.S.
degrees in mathematics and computer sciences from Kyushu University, Japan. He
is now working as a professor of the Department of Basic Sciences at Kyushu
Institute of Technology, Tobata Campus in Kitakyushu, Japan.
He is serving as an advisory board member of International Rough Set Society
and an editorial board member of some journals. His primary research interests
include rough sets, mathematical logic, soft computing, logic programming and
data mining. He is a PC member of several international scientific conference
series. He has published over 100 research articles for books, journals, and
conference proceedings.
Papers (Link to Scopus)
Papers (Link to DBLP)
2017
1. H. Sakai, M. Nakata, Y. Yao: Pawlak's many valued information system, non-deterministic information system, and a proposal of new topics on information incompleteness toward the actual application, Studies in Computational Intelligence, Springer, Vol. 708, pp.187-204 (2017) DOI: 10.1007/978-3-319-54966-8_9
2. H. Sakai, M. Nakata, J. Watada: A proposal of machine learning by rule generation from tables with non-deterministic information and its prototype system, Proc. Int'l. Conf. on IJCRS, Springer, LNCS 10313, pp. 535-551 (2017) DOI 10.1007/978-3-319-60837-2_43
3. M. Nakata, H. Sakai, K. Hara: Rough sets in incomplete information systems with order relations under Lipski's approach, Proc. Int'l. Conf. on IJCRS, Springer, LNCS 10313, pp. 487-506 (2017) DOI 10.1007/978-3-319-60837-2_40
4. K.Y. Shen, H. Sakai, G.H. Tzeng: Stable rules evaluation for rough-set-based bipolar model: A preliminary study for credit loan evaluation, Proc. Int'l. Conf. on IJCRS, Springer, LNCS 10313, pp. 317-328 (2017) DOI: 10.1007/978-3-319-60837-2_27
2016
1. H. Sakai, C. Liu, X. Zhu, M. Nakata: On NIS-Apriori based data mining in SQL, Proc. Int'l. Conf. on IJCRS, Springer, LNCS 9920, pp. 514-524 (2016) DOI 10.1007/978-3-319-47160-0_47
2. M. Nakata, H. Sakai: Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information, Proc. Int'l. Conf. on IJCRS, Springer, LNCS 9920, pp. 187-196 (2016) DOI 10.1007/978-3-319-47160-0_17
3. H. Sakai, C. Liu, M. Nakata, S.Tsumoto: A Proposal of a Privacy-preserving Questionnaire by Non-deterministic Information and Its Analysis, Proc. IEEE Big Data Conference, pp. 1956-1965 (2016) DOI 10.1109/BigData.2016.7840817
4. M. Nakata, H.Sakai: Describing Rough Approximations by Indiscernibility Relations in Information Tables with Incomplete Information, IPMU 2016, Part II, Springer CCIS 611, pp. 355–366 (2016) DOI: 10.1007/978-3-319-40581-0_29
5. C. Liu, H. Sakai, X. Zhu, M. Nakata: On Apriori-based Rule Generation in SQL - A Case of the Deterministic Information System -, Proc. SCIS-ISIS, pp. 178-182 (2016)
DOI: 10.1109/SCIS-ISIS.2016.0047
1. International Rough Set Society (Advisory Board member)
2. International Journal of Reasoning-based Intelligent Systems (IJRIS) (Editorial Board Member)
3. International Journal of Rough Sets and Data Analysis (IJRSDA) (Associate Editors)
4. IJCRS2016 (PC member)
5. SCIS-ISIS 2016conference (PC member)
6. JSAI 2016 conference (Local organizer member)
2015
1. H. Sakai, M. Wu, N. Yamaguchi, M. Nakata: Granules for Association Rules and Decision Support in the getRNIA System, Intelligent Decision Technologies, IOS Press, Vol.9, pp.309-320 (2015) DOI 10.3233/IDT-140226
2. H. Sakai, C. Liu, M. Nakata: Families of the Granules for Association Rules and Their Properties, Proc.RSKT2015, LNAI. Vol.9436, pp.175-187 (2015) DOI 10.1007/978-3-319-25754-9_16
3. M. Wu, H. Sakai: On Parallelization of the NIS-apriori Algorithm for Data Mining, Proc. KES2015, Procedia Computer Science, Elsevier, Volume 60, pp. 623-631 (2015) DOI 10.1016/j.procs.2015.08.198
4. H. Sakai, C. Liu: A Consideration on Learning by Rule Generation from Tables with Missing Values, Proc.IEEE AAI2015, pp.183-188 (2015) DOI 10.1109/IIAI-AAI.2015.175
1. International Rough Set Society (Advisory Board member, Senior member)
2. International Journal of Reasoning-based Intelligent Systems (IJRIS) (Editorial Board Member)
3. International Journal of Rough Sets and Data Analysis (IJRSDA) (Associate Editors)
4. JRS2015 conference (PC member)
5. FIM2015 conference (PC member)
6. DTA2015 (PC member)
2014
1. Hiroshi Sakai, Mao Wu, Michinori Nakata: Apriori-Based Rule Generation in Incomplete Information Databases and Non-Deterministic Information Systems, Fundamenta Informaticae, Vol. 130, No.3, pp.343-376 (2014) doi:10.3233/FI-2014-995
2. Sanjay Kumar Jena, Hiroshi Sakai: Editorial, Special Issue on Advances in Computing and Data Engineering, Int'l. J. Computational Intelligence Studies, Inderscience, Vol. 3, Nos. 2/3, pp.111-112 (2014) Link
3. Hiroshi Sakai, Hiroaki Ishii, Junzo Watada: Editorial, Special Issue on Interdisciplinary Mathematics, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.18, No.6, pp.927-928 (2014) Link
4. Naoto Yamaguchi, Mao Wu, Michinori Nakata, Hiroshi Sakai: Application of Rough Set-Based Information Analysis to Questionnaire Data, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.18, No.6, pp.953-961 (2014)
5. Mao Wu, Michinori Nakata and Hiroshi Sakai: Two Rough Sets-Based Software Tools for Analyzing Non-deterministic Data, Int'l. J. Rough Sets and Data Analysis, IGI Global, Vol.1, No.1, pp.32-47 (2014) doi: 10.4018/ijrsda.2014010103
6. Hiroshi Sakai, Mao Wu: The Completeness of NIS-Apriori Algorithm and a Software Tool getRNIA, Proc. Int'l. Conf on AAI2014, pp.115-121 (2014) 2014 IEEE DOI 10.1109/IIAI-AAI.2014.33
7. Hiroshi Sakai, Mao Wu, Naoto Yamaguchi: On the Definability of a Set and Rough Set-Based Rule Generation, Proc. Int'l. Conf on AAI2014, pp.122-125 (2014) 2014 IEEE DOI 10.1109/IIAI-AAI.2014.34
8. Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Chenxi Liu, and Michinori Nakata: Reconsideration of Rules in Tables with Non-deterministic Data, Proc. IEEE Int'l. Conference on Granular Computing, pp.235-240 (2014) IEEE DOI
10.1109/GRC.2014.6982841
1. International Rough Set Society (Advisory Board member)
2. International Journal of Reasoning-based Intelligent Systems (IJRIS) (Editorial Board Member)
3. International Journal of Rough Sets and Data Analysis (IJRSDA) (Associate Editors)
4. IIAI-AAI2014 conference (Local Arrangement Chair)
5. JRS2014 conference (PC member)
6. ISMIS2014 conference (Reviewer)
2013
1. Hiroshi Sakai, Hitomi Okuma, Michinori Nakata: Rough Non-deterministic Information Analysis: Foundations and Its Perspective in Machine Learning, Smart Innovation, Systems and Technologies, Vol.13, Chapter 9, Springer, pp.215-247 (2013) doi: 10.1007/978-3-642-28699-5_9
2. Hiroshi Sakai, Hitomi Okuma, Mao Wu, Michinori Nakata: Rough Non-deterministic Information Analysis for Uncertain Information, The Handbook on Reasoning-Based Intelligent Systems, World Scientific, Chapter 4, pp.81-118 (2013) doi: 10.1142/9789814329484_0004
3. Hiroshi Sakai, Mao Wu, Michinori Nakata: Division Charts as Granules and Their Merging Algorithm for Rule Generation in Nondeterministic Data. Int. J. Intell. Syst. 28(9): 865-882 (2013) doi: 10.1002/int.21608
4. Michinori Nakata, Hiroshi Sakai: Twofold rough approximations under incomplete information. Int. J. General Systems 42(6): 546-571 (2013) doi: 10.1080/17451000.2013.798898
5. Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata: Rough Set-Based Information Dilution by Non-deterministic Information. RSFDGrC 2013: 55-66 (2013) doi: 10.1007/978-3-642-41218-9_7
6. Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata: Non-deterministic Information in Rough Sets: A Survey and Perspective. RSKT 2013: 7-15 (2013) doi: 10.1007/978-3-642-41299-8_2
7. Mao Wu, Michinori Nakata, Hiroshi Sakai: An Overview of the getRNIA System for Non-deterministic Data. Procedia Computer Science, Elsevier, Vol.22, 615-62 (2013) doi 10.1016/j.procs.2013.09.142
8. Mao Wu, Naoto Yamaguchi and Hiroshi Sakai: Rough Non-deterministic Information Analysis and Its Software Tool: An Overview. Bulletin of the Kyushu Institute of Technology, Vol.60, pp.1-29, (2013)
9. Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata: Rough Set-based Data Analysis: A Survey, Proc. FIM2013, FIM2013-814-00195 (2013) (Plenary Talk)
10. Mao Wu, Naoto Yamaguchi, Michinori Nakata, Hiroshi Sakai: getRNIA: A System for Rough Sets Based Data Analysis, Proc. FIM2013, FIM2013-820-00223 (2013) (Excellent Paper Award)
11. Naoto Yamaguchi, Mao Wu, Michinori Nakata, Hiroshi Sakai: Application of Rough Set-based Information Analysis to Questionnaire Data, Proc. FIM2013, FIM2013-820-00224 (2013)
1. International Rough Set Society (Advisory Board member)
2. International Journal of Reasoning-based Intelligent Systems (IJRIS) (Editorial Board Member)
3. International Journal of Rough Sets and Data Analysis (IJRSDA) (Associate Editors)
4. FIM2013 in Kitakyushu, Japan (Co-PC Chair)
5. JRS2013 in Halifax, Canada (Program Committee member)
7. KES2013 in Kitakyushu, Japan (Local Facilitator)
8. IEEE GrC2013 in Beijing, China (Program Committee member)
9. KES/IDT in Portugal (Program Committee member)
2012
1. Hiroshi Sakai, Yasuo Kudo and Tetsuya Murai: Preface of Special Issue on Rough Sets and Granular Computing, International Journal of Reasoning-based Intelligent Systems, Inderscience, Vol.4, No.3, pp.117-117 (2012)
2. Hiroshi Sakai, Mao Wu, Michinori Nakata: Association rule-based decision making in table data, International Journal of Reasoning-based Intelligent Systems, Inderscience, Vol.4, No.3, pp.162-170 (2012) doi 10.1504/IJRIS.2012.050374
3. Management of Information Incompleteness in Rough Non-deterministic Information Analysis, Proc. IPMU 2012, Springer, CCIS, Vol.297, pp.280-289 (2012)
4. Hiroshi Sakai, Hitomi Okuma, Mao Wu and Michinori Nakata, A Descriptor-Based Division Chart Table in Rough Non-deterministic Information Analysis,
5. Hiroshi Sakai, Mao Wu, Naoto Yamaguchi and Michinori Nakata: Division Charts and their Merging Algorithm in Rough Non-deterministic Information Analysis, Proc. IEEE. GrC2012, pp.491-496 (2012)
6. Hiroshi Sakai, Mao Wu, Michinori Nakata, Dominik Slezak: Rough Sets-Based Machine Learning over Non-deterministic Data: A Brief Survey, Communications in Computer and Information Science, Springer, Vol.322, pp.3-12 (2012)
7. Mao Wu, Naoto Yamaguchi, Michinori Nakata, Hiroshi Sakai: Learning a Table from a Table with Non-deterministic Information: A Perspective, Communications in Computer and Information Science, Springer, Vol. 322, pp.25-34 (2012)
8. Dual Rough Approximations in Possibilistic Information Systems, Proc. 31st NAFIP, paper number 42, (2012)
International Journal of Swarm Intelligence and Evolutionary Computation (IJSIEC) (Associate Editor)
International Journal of Reasoning-based Intelligent Systems (IJRIS) (Editorial Board Member)
3. International Rough Set Society (Advisory Board member)
4. ICCCS2012 in Rourkela, India (Co-PC Chair)
5. AMLTA2012 in Cairo, Egypt (Advisory Committee member)
6. IEEE GrC2012 in Hangzhou, China (Program Committee menber)
7. KES/IDT2012 in Gifu, Japan (Program Committee member)
8. JRS2012 in Chengdu, China (Program Committee member)
2011
2. Hiroshi Sakai, Hitomi Okuma, Michinori Nakata, Dominik Slezak: Stable Rule Extraction and Decision Making in Rough Non-deterministic Information Analysis, International Journal of Hybrid Intelligent Systems, IOS Press, Vol.8, No.1, pp.41-57 (2011)doi 10.3233/HIS-2011-0130