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Hiroshi SAKAI (Professor)

Department of Basic Sciences,
Faculty of Engineering

Kyushu Institute of Technology,
Tobata, Kitakyushu 804, Japan

         

            sakai@mns.kyutech.ac.jp

      http://www.mns.kyutech.ac.jp/~sakai/RNIA/



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. Nao
to 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. Hiroshi Sakai, Michinori Nakata, Dominik Slezak: 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, Proc. IDT2012, Smart Innovation, Systems and Technologies, Vol.15, Springer, pp.25-34 (2012)
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. Michinori Nakata and Hiroshi Sakai: Dual Rough Approximations in Possibilistic Information Systems, Proc. 31st NAFIP, paper number 42, (2012)


1. International Journal of Swarm Intelligence and Evolutionary Computation (IJSIEC) (Associate Editor)

2. 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

1. Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak: A Mathematical Extension of Rough Set Based Issues toward Uncertain Information Analysis,  New Mathematics and Natural Computation (NMNC), World Scientific, Vol.7, No.3, pp.543-570 (2011) doi 10.1142/S1793005711002062
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
3. Aboul Ella Hassanien, Hiroshi Sakai, Dominik Slezak, Michir K. Chakraborty, William Zhu: Special issue: Rough and Fuzzy Methods for Data Mining, International Journal of Hybrid Intelligent Systems, IOS Press, Vol.8, No.1, pp.1-2 (2011)
doi 10.3233/HIS-2011-0125
4. J.Peters, A.Skowron, H.Sakai, M.Chakraborty, D.Slezak, A.E.Hassanien, W.Zhu: Preface of Special Issue: RSFDGrC 2009, Transaction on Rough Sets, Springer-Verlag, Vol.14, pp.1-2  (2011) doi 10.1007/978-3-642-21563-6
5. Hiroshi Sakai, Michinori Nakata, Dominik Slezak: A Prototype System for Rule Generation in Lipski's Incomplete Information Databases, RSFDGrC 2011, Springer LNAI, Vol.6743, pp.175-182 (2011)
6. Michinori Nakata, Hiroshi Sakai: Dual Rough Approximations in Information Tables with Missing Values, RSFDGrC 2011, Springer LNAI, Vol.6743, pp.36-43 (2011)
7. Hiroshi Sakai, Michinori Nakata, Dominik Slezak: A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data, RSKT 2011, Springer LNAI, Vol.6954, pp.226-231 (2011)
8. Hiroshi Sakai and Michinori Nakata: Toward Association Rules Based Decision Making in Lipski’s Incomplete Information Databases, Proc. IEEE. GrC., pp.570-575 (2011)
9. Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai: Properties on Inclusion Relations and Division Charts in Non‐deterministic Information Systems, Proc. IEEE. GrC., pp.521-526 (2011)


1. International Journal of Swarm Intelligence and Evolutionary Computation (IJSIEC) (Associate Editor)
2. International Journal of Reasoning-based Intelligent Systems  (IJRIS) (Editorial Board Member)
3. Co-Guest Editor of Transaction on Rough Sets, Vol.14
4. Co-Guest Editor of International Journal of Hybrid Intelligent Systems, Vol.8, No.1
5. RSFDGrC2011 in Moscow, Russia  (Program committee member)  
6. RSKT2011 in Banff, Canada  (Program committee member)
7. GrC2011 in Kaohsiung, Taiwan (Program Committee member)
8. ISMIS2011 in Warsaw, Poland (Program Committee member)

2010

1. Hiroshi Sakai, Michinori Nakata, Dominik Slezak: Toward Rough Sets Based Rule Generation from Tables with Uncertain Numerical Values, Advances in Intelligent and Soft Computing, Springer, Vol.68, pp.395-406 (2010)
2. Hiroshi Sakai, Michinori Nakata, Dominik Slezak: Rule Generation in Lipski's Incomplete Information Databases, Rough Sets and Current Trends in Computing,  7th International Conference, Springer LNCS, Vol.6086, pp.376-385, Warsaw, Poland(2010)
3. Hiroshi Sakai, Michinori Nakata, Dominik Slezak: The Lower and the Upper Systems of Rules in Tables with Missing Values, Database Theory and Application, Springer, CCIS, Vol.118, pp.132-141, Jeju, Korea(2010) (Best Paper Award)
4. Michinori Nakata, Hiroshi Sakai: Two Rough Approximations for Information Tables Containing Missing Values, IEEE International Conference on Granular Computing, pp.363-368, San Jose, California, USA(2010)
5. Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai: An Overview of Decision Making in Rough Non-deterministic Information Analysis, the Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010), IEEE Society Press, pp.1-6, Kitakyushu (2010)

1. International Journal of Swarm Intelligence and Evolutionary Computation (IJSIEC) (Associate Editor)
2. International Journal of Reasoning-based Intelligent Systems  (IJRIS) (Editorial Board Member)
3. KES-IIMSS-2010 in  Baltimore, USA (Program Committee member)
4. DTA2010 in Jeju, Korea (Program Committee member)
5. RSCTC2010 in Warsaw, Poland (Program Committee member)
6. RSKT2010 in Beijing, China (Program Committee member)
7. RBIS2010 in Moscow, Russia (Program Committee member)

2009

1. Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak: Lower System the Upper System and Rules with Stability Factor in Non-deterministic Information Systems, Proc. RSFDGrC 2009 Lecture Notes in AI Springer, Vol.5908, pp.313-320, India (2009)
2. Hiroshi Sakai, Mihir K. Chakraborty, Aboul Ella Hassanien, Dominik Slezak, William Zhu: Front matter, Proc. RSFDGrC 2009, Lecture Notes in AI Springer, Vol.5908, pp.4-4, India (2009)
3. H.Sakai, K.Hayashi, H.Kimura, M.Nakata: An Aspect of Decision Making in Rough Non-deterministic Information Analysis, Studies in Computational Intelligence, Springer, Vol.199, pp.527-536, 2009.
4. H.Sakai, H.Kimura, M.Nakata: An Overview of a Software Tool in Rough Non-deterministic Information Analysis, Proc. 39th Int’l. Symposium on Multiple Valued Logic, IEEE Society, pp.208-213, 2009.
5. Dominik Slezak, Hiroshi Sakai: Automatic Extraction of Decision Rules from Non-deterministic Data Systems: Theoretical Foundations and SQL-Based Implementation, Database Theory and Application CCIS Series Springer, Vol.64, pp.151-162, Jeju (2009)
6. M.Nakata, H.Sakai: Applying Rough Sets to Information Tables Containing Missing Values, Proc. 39th Int’l. Symposium on Multiple Valued Logic, IEEE Society, pp.286-291, 2009.
7. M.Nakata, H.Sakai: Rough Sets under Non-deterministic Information, Proc. RSKT09, LNAI, Vol.5589, Springer-Verlag, pp.76-85, 2009.
1. International Journal of Reasoning-based Intelligent Systems  (IJRIS) (Editorial Board Member)
2. Co-Guest Editor of RSFDGrC2009, LNAI Vol. 5908
3. DTA2009 in Jeju, Korea  (Program Committee member)
4. RSKT2009  in Gold Coast, Australia (Program Committee member)
5. KES-IDT2009  in Himeji, Japan (Program Committee member)
6. ISBFS2009 in Kitakyushu, Japan (Local Organizer)

Selected papers before 2009

1. H.Sakai, K.Koba, M.Nakata: Rough Sets Based Rule Generation from Data with Categorical and Numerical Values, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15, No.5, pp.426-434, 2008.

2. H.Sakai: Rough Non-deterministic Information Analysis and Related Issues, Handbook of Reasoning-based Intelligent Systems World Scientific (Accepted), pp.35, 2008.

3. H.Sakai, R.Ishibashi, M.Nakata: Rules and Apriori Algorithm in Non-deterministic Information Systems, Transaction on Rough Sets, Springer-Verlag, Vol.9, pp.328-350, 2008.

4. M.Nakata, H.Sakai: Applying Rough Sets to Information Tables Containing Possibilistic Values, Transactions on Computational Science Springer-Verlag, Vol.2, pp.180-204, 2008.

5. H.Sakai, R.Ishibasi, M.Nakata: Lower and Upper Approximations of Rules in Non-deterministic Information Systems, Int’l. Conf. RSCTC08, Lecture Notes in Artificial Intelligence, Springer-Verlag, Vol.5306, pp.299-309, Akron, 2008. (Program Committee Member)

6. M.Nakata, H.Sakai: Rough Sets Approximations in Data Tables Containing Missing Values, IEEE World Conference on Computational Intelligence, pp.673-680, 2008.

7. M.Nakata, H.Sakai: Lower and Upper Approximations in Data Tables Containing Possibilistic Information, Transactions on Rough Sets,  International Rough Set Society, Vol.7, pp.170-189, 2007.

8. H.Sakai, R.Ishibasi, K.Koba, M.Nakata: On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems 2,11th Int’l. Conf. on RSFDGrC07 Lecture Notes in Artificial Intelligence Springer-Verlag, Vol.4482, pp.280-288, Tronto, 2007. (Program Committee Member)

9. M.Nakata, H.Sakai: Rough Sets Dealing with Data Tables Containing Missing Values, International Conference on Soft Computing Intelligent Systems and Information Technology (ICSIIT), pp.147-153, 2007.

10. M.Nakata, H.Sakai: Applying Rough Sets to Data Tables Containing Missing Values, Rough Sets and Emerging Intelligent Systems Paradigms In Memoriam ZdzislawPawlak, Lecture Notes in Artificial Intelligence, Springer-Verlag, Vol.4585, pp.181-191, Poland, 2007.

11. H.Sakai, K.Koba, R.Ishibasi, M.Nakata: On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values, 4th International Conference on Modeling Decisions for Artificial Intelligence Lecture Notes in Artificial Intelligence Springer-Verlag, Vol.4617, pp.269-281, 2007.

12. H.Sakai, M.Nakata: An Application of Discernibility Functions to Generating Minimal Rules in Non-deterministic Information Systems, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.5, pp.695-702, 2006.

13. H.Sakai, M.Inuiguchi: Special Issue on Rough Sets and Granular Computing, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.5, pp.605-605, 2006.

14. H.Sakai: On a Rough Sets based Data Mining Tool in Prolog: An Overview, Lecture Notes in Artificial Intelligence (Revised Selected Papers) Springer-Verlag, Vol.4369, pp.48-65, 2006.

15. H.Sakai and M.Nakata: On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems, Proc. RSCTC06, LNAI,Vol.4259, pp.264-273, 2006. (Program Committee Member)

16. M.Nakata, H.Sakai: Applying Rough SEts to Data Tables Containing Possibilistic Information, RSKT 2006,
LNCS, Vol.4062, pp.147-155, 2006.

17. H.Sakai and M.Nakata: Discernibility Functions and Minimal Rules in Non-deterministic Information Systems, Proc. RSFDGrC2005, Lecture Notes in Artificial Intelligence, Springer-Verlag, Vol.3641, pp.254-264, 2005. (Program Committee Member)

18. H.Sakai, M.Nakata: Rough sets based Minimal Certain Rule Generation in Non-deterministic Information
Systems: An Overview, Frontiers in Artificial Intelligence and Applications IOS Press, Vol.132, pp.256-263, 2005

19. H.Sakai, A.Okuma: Basic Algorithms and Tools for Rough Non-deterministic Information Analysis, Transaction on Rough Sets, International Rough Set Society, Vol.1, pp.209-231, 2004.

20. H.Sakai: Possible Equivalence Relations and Their Application to Hypothesis Generation in Non-deterministic Information Systems, Transactions on Rough Sets, International Rough Set Society, Vol.2, pp.82-106, 2004.

21. H.Sakai: Some Effective Procedures for Data Dependencies in Information Systems,  Rough Set Theory and Granular Computing, Studies in Fuzziness and Soft Computing, Vol.125, Springer-Verlag, pp.167-176, 2003.

22. H.Sakai: A Framework of Rough Sets Based Rule Generation in Non-deterministic Information Systems, LNCS, Vol.2871, ISMIS 2003, pp.143-151, 2003.

23. H.Sakai: Effective Procedures for Handling Possible Equivalence Relations in Non-deterministic Information Systems, Fundamenta Informaticae, Polish Mathematical Society, IOS Press, Vol.48, No.4, pp.343-362, 2001.

24. H.Sakai and A.Okuma: On a Theorem Prover for Variational Logic Programs with Functorssetu and sets, Int'l. Journal of Uncertainty, Fuzziness and Knowledge-based systems, World Scientific Publisher, Vol.8, No.1, pp.73-92, 2000.

25. H.Sakai, A.Okuma: An Algorithm for Checking Dependencies of Attributes in a Table with Non-deterministic Information: A Rough Sets Based Approach, LNCS, Vol. 1886, PRICAI 2000, pp.219-229

26. H.Sakai and A.Okuma: An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information, Proc. 7th Int'l. Workshop on Rough Sets, Lecture Notes in AI, Springer-Verlag, Vol.1711, pp.64-72, 1999.

27. H.Sakai: Some Issues on Nondeterministic Knowledge Bases with Incomplete and Selective Information, Proc. 1st Int'l. Conf. on Rough Sets and Current Trend in Computing, Lecture Notes in Artificial Intelligence, Vol.1424, pp.424-431, Springer- Verlag, 1998.

28. H.Sakai: On a Framework for Logic Programming with Incomplete Information. Fundamenta Informaticae, Vol.19 (3/4), pp.223-234 1993.