JA

Profile

Research

Social

Other

Seki Hirosato

関　宏理

Graduate School of Engineering Science　Department of Systems Innovation, Assistant Professor

keyword Optimization，Approximate Reasoning，Biomedical Engineering，Bioinformatics，Computational Intelligence，Information Security，System Engineering，Fuzzy Theory，Soft Computing

Education

  • 2006/04 - 2008/09, Osaka University, Graduate School of Information Science and Technology, Information and Physical Sciences
  • - 2006, Osaka Electro-Communication University, Graduate School, Division of Engineering
  • - 2004, Osaka Electro-Communication University, Faculty of Information Science and Arts

Research History

  • 2015/04 - Present, Osaka University, Graduate School of Engineering Science, Assistant Professor
  • 2012/04 - 2015/03, Kwansei Gakuin University, Department of Mathematical Sciences, Contract Assistant
  • 2010/04 - 2012/03, Osaka Institute of Technology, Assistant Professor
  • 2008 - 2010, 日本学術振興会 特別研究員
  • 2008 - 2010, Research Fellow of the Japan Society for the Promotion of Science (JSPS Research Fellow)

Research Areas

  • Informatics, Sensitivity (kansei) informatics
  • Informatics, Soft computing
  • Informatics, Intelligent informatics
  • Informatics, Information theory

Professional Memberships

  • THE OPERATIONS RESEARCH SOCIETY OF JAPAN
  • THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS
  • システム制御情報学会
  • 日本知能情報ファジィ学会
  • 電子情報通信学会
  • IEEE
  • Japan Society for Fuzzy Theory and Intelligent Informatics
  • IEICE (The Institute of Electronics, Information and Communication Engineers)
  • IEEE (THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS)

Papers

  • Utilization of Data Envelopment Analysis for Grid Traffic Accident Data, Daisuke Maruyama,Masahiro Inuiguchi,Naoki Hayashi,Hirosato Seki,Hiromitsu Kurihara,Tomoya Ueura, Lecture Notes in Computer Science, Springer Nature Switzerland, p. 73-84, 2023/10/25
  • On a learning method of the SIC fuzzy inference model with consequent fuzzy sets, Genki Ohashi,Hirosato Seki,Masahiro Inuiguchi, Proceedings of the 4th IEEE International Conference on Rebooting Computing, ICRC 2019, 2019/11
  • A learning method of non-differential SIC fuzzy inference model using genetic algorithm and its application to a medical diagnosis, Genki Ohashi,Tomoki Shimizu,Hirosato Seki,Masahiro Inuiguchi, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, Vol. 2019-October, p. 2454-2459, 2019/10
  • Knowledge Acquisition with Deep Fuzzy Inference Model and Its Application to a Medical Diagnosis, Yuki Mori,Hirosato Seki,Masahiro Inuiguchi, 2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings, 2019/10
  • Knowledge Acquisition Using Fuzzy Inference Unified Max Operation and Its Application to a Medical Diagnosis System, Genki Ohashi,Hirosato Seki,Masahiro Inuiguchi, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, p. 1767-1772, 2019/01/16
  • On the Learning Method, Properties of the Extended Functional-Type SIRMs Connected Fuzzy Inference Model and Their Application to a Medical Diagnosis System, Diederik van Krieken,Hirosato Seki,Masahiro Inuiguchi, JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, FUJI TECHNOLOGY PRESS LTD, Vol. 22, No. 2, p. 176-183, 2018/03
  • Optimization of constrained SIRMs connected type fuzzy inference model using two-phase simplex method, Takeshi Nagata,Hirosato Seki,Hiroaki Ishii, Journal of Advanced Computational Intelligence and Intelligent Informatics, Fuji Technology Press, Vol. 22, No. 2, p. 172-175, 2018/03/01
  • Medical diagnosis and monotonicity clarification using SIRMs connected fuzzy inference model with functional weights, Hirosato Seki,Tomoharu Nakashima, IEEE International Conference on Fuzzy Systems, p. 1662-1665, 2014/09/04
  • SIRMs Connected Fuzzy Inference Model with Compatibility Functions, Hirosato Seki, 2014 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC), IEEE, p. 245-249, 2014
  • SIRMs connected fuzzy inference method adopting emphasis and suppression, Hirosato Seki,Masaharu Mizumoto, FUZZY SETS AND SYSTEMS, ELSEVIER SCIENCE BV, Vol. 215, p. 112-126, 2013/03
  • 「ファジィシステムの理論と応用」特集にあたって, 関 宏理, 知能と情報, 日本知能情報ファジィ学会, Vol. 25, No. 3, p. 102-102, 2013
  • Fuzzy Singleton-Type SIC Fuzzy Inference Model, Hirosato Seki,Masaharu Mizumoto, 2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013), IEEE, 2013
  • Medical Discriminant Analysis by Modular Fuzzy Model, Hirosato Seki,Toshihiko Watanabe, INTELLIGENT DECISION TECHNOLOGIES (IDT'2012), VOL 1, SPRINGER-VERLAG BERLIN, Vol. 15, p. 245-251, 2012
  • Type-2 Fuzzy Functional SIRMs Connected Inference Model, Hirosato Seki, 6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, IEEE, p. 1615-1620, 2012
  • On the Properties of SIRMs Connected Fuzzy Inference Method with Consequent Fuzzy Sets, Hirosato Seki,Masaharu Mizumoto, PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), IEEE, p. 1402-1406, 2012
  • Modeling approach based on modular fuzzy model, Toshihiko Watanabe,Hirosato Seki, Journal of Advanced Computational Intelligence and Intelligent Informatics, Fuji Technology Press, Vol. 16, No. 5, p. 653-661, 2012
  • On the Equivalence Conditions of Fuzzy Inference Methods-Part 1: Basic Concept and Definition, Hirosato Seki,Masaharu Mizumoto, IEEE TRANSACTIONS ON FUZZY SYSTEMS, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Vol. 19, No. 6, p. 1097-1106, 2011/12
  • Type-2 fuzzy functional inference method: Design and properties, Hirosato Seki,Masaharu Mizumoto, Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011, p. 576-581, 2011
  • On Extension of Consequent Parts of T-S Inference Model, Hirosato Seki,Masaharu Mizumoto, IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), IEEE, p. 1213-1218, 2011
  • Type-2 Fuzzy Functional Inference Method, Hirosato Seki,Masaharu Mizumoto, IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), IEEE, p. 1208-1212, 2011
  • Learning Method of Fuzzy Functional Inference Model, Hirosato Seki,Masaharu Mizumoto, 2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), IEEE, p. 3524-3529, 2011
  • Applicability of Generalized Neural Network-Type SIRMs Method in Medical Data, Orrawan KUMDEE,Hirosato SEKI,Hiroaki ISHII, International Journal of Biomedical Soft Computing and Human Sciences, Vol. 16, No. 2, p. 21-27, 2010/12
  • NONLINEAR IDENTIFICATION AND MEDICAL DIAGNOSIS SYSTEM USING FUNCTIONAL-TYPE SIRMS CONNECTED FUZZY INFERENCE METHOD, Hirosato Seki,Hiroaki Ishii,Masaharu Mizumoto, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, ICIC INT, Vol. 6, No. 11, p. 5275-5286, 2010/11
  • On the Monotonicity of Fuzzy-Inference Methods Related to T-S Inference Method, Hirosato Seki,Hiroaki Ishii,Masaharu Mizumoto, IEEE TRANSACTIONS ON FUZZY SYSTEMS, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Vol. 18, No. 3, p. 629-634, 2010/06
  • Discriminant analysis by neural network-type SIRMs connected fuzzy inference method, Satoshi Watanabe,Hirosato Seki,Hiroaki Ishii, IEEE International Conference on Industrial Informatics (INDIN), p. 93-97, 2010
  • Additive Fuzzy Functional Inference Methods, Hirosato Seki,Masaharu Mizumoto, IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), IEEE, 2010
  • Fuzzy Functional Inference Method, Hirosato Seki,Masaharu Mizumoto, 2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), IEEE, 2010
  • An Extended Method of SIRMs Connected Fuzzy Inference Method Using Kernel Method, Hirosato Seki,Fuhito Mizuguchi,Satoshi Watanabe,Hiroaki Ishii,Masaharu Mizumoto, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, Vol. E92A, No. 10, p. 2514-2521, 2009/10
  • On the Infimum and Supremum of Simplified Fuzzy Inference Method, Hirosato Seki,Hiroaki Ishii, 2008 IEEE CONFERENCE ON SOFT COMPUTING IN INDUSTRIAL APPLICATIONS SMCIA/08, IEEE, p. 137-141, 2009
  • Realization of XOR by SIRMs Connected Fuzzy Inference Method, Hirosato Seki,Satoshi Watanabe,Hiroaki Ishii,Masaharu Mizumoto, NEXT-GENERATION APPLIED INTELLIGENCE, PROCEEDINGS, SPRINGER-VERLAG BERLIN, Vol. 5579, p. 252-+, 2009
  • On the Equivalence of SIRMs Connected Fuzzy Inference Method, Hirosato Seki, 2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, IEEE, p. 1210-1215, 2009
  • Comparison of Neuro-Fuzzy based techniques in Nasopharyngeal Carcinoma Recurrence Prediction, Orrawan Kumdee,Hirosato Seki,Hiroaki Ishii,Thongchai Bhongmakapat,Panrasee Ritthipravat, 2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, IEEE, p. 1199-+, 2009
  • On the Equivalence of Single Input Type Fuzzy Inference Methods, Hirosato Seki,Masaharu Mizumoto, 2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, IEEE, p. 686-+, 2009
  • On the Monotonicity of Functional Type SIRMs Connected Fuzzy Reasoning Method and T-S Reasoning Method, Hirosato Seki,Hiroaki Ishii, 2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, IEEE, p. 58-63, 2008
  • SIRMs Connected Fuzzy Inference Method Using Kernel Method, Hirosato Seki,Fuhito Mizuguchi,Satoshi Watanabe,Hiroaki Ishii,Masaharu Mizumoto, 2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6, IEEE, p. 1775-+, 2008
  • On the monotonicity of single input type fuzzy reasoning methods, Hirosato Seki,Hiroaki Ishii,Masaharu Mizumoto, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, Vol. E90A, No. 7, p. 1462-1468, 2007/07
  • On the monotonicity of SIRMs connected type fuzzy reasoning method and SIC reasoning method, Hirosato Seki,Hiroaki Ishii,Masaharu Mizurnoto, 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, IEEE, p. 3973-+, 2007
  • On the Property of Single Input Rule Modules Connected Type Fuzzy Reasoning Method, SEKI Hirosato,MIZUMOTO Masaharu,YUBAZAKI Naoyoshi, The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese edition) A, The Institute of Electronics, Information and Communication Engineers, Vol. J89-A, No. 6, p. 557-565, 2006/06

Misc.

  • On the Properties of OR Operation-Type Fuzzy Inference Model and Its Application to a Medical Diagnosis, Vol. 32, p. 713-718, 2016/08/31
  • 2-A-7 制約条件付きSIRMsファジィ推論モデルによる糖尿病判別分析(評価と分析), 長田 健志,関 宏理,石井 博昭, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2014, p. 178-179, 2014/03/06
  • Complex-Valued SIRMs Connected Fuzzy Inference Model, Seki Hirosato,Nakashima Tomoharu, Proceedings of the Fuzzy System Symposium, Japan Society for Fuzzy Theory and Intelligent Informatics, Vol. 29, No. 0, p. 180-180, 2013
  • On the Property of Generalized SIRMs Fuzzy Inference Model, Vol. 26, p. 343-346, 2010/09/13
  • On the Monotonicity of Fuzzy-Inference Methods Related to T-S Inference Method, Hirosato Seki,Hiroaki Ishii,Masaharu Mizumoto, IEEE TRANSACTIONS ON FUZZY SYSTEMS, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Vol. 18, No. 3, p. 629-634, 2010/06
  • An Extended Method of SIRMs Connected Fuzzy Inference Method Using Kernel Method, Hirosato Seki,Fuhito Mizuguchi,Satoshi Watanabe,Hiroaki Ishii,Masaharu Mizumoto, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, Vol. E92A, No. 10, p. 2514-2521, 2009/10
  • A Study on Modeling Approach Based on Modular Fuzzy Model, Vol. 25, 2009/07/14
  • On the Intimum and Supremum of Fuzzy Inference by Single Input Type Fuzzy Inference, Hirosato Seki,Hiroaki Ishii, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, Vol. E92A, No. 2, p. 611-617, 2009/02
  • On the Intimum and Supremum of Fuzzy Inference by Single Input Type Fuzzy Inference, Hirosato Seki,Hiroaki Ishii, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, Vol. E92A, No. 2, p. 611-617, 2009/02
  • On the Generalization of Single Input Rule Modules Connected Type Fuzzy Reasoning Method, Hirosato Seki,Hiroaki Ishii,Masaharu Mizumoto, IEEE TRANSACTIONS ON FUZZY SYSTEMS, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Vol. 16, No. 5, p. 1180-1187, 2008/10
  • On the Generalization of Single Input Rule Modules Connected Type Fuzzy Reasoning Method, Hirosato Seki,Hiroaki Ishii,Masaharu Mizumoto, IEEE TRANSACTIONS ON FUZZY SYSTEMS, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Vol. 16, No. 5, p. 1180-1187, 2008/10
  • On the Infimum and Supremum of T-S Inference Method Using Functional Type SIRMs Connected Fuzzy Inference Method, Vol. 24, p. 829-834, 2008/09/03
  • Discriminant Analysis by Neural Network Type SIRMs Connected Fuzzy Inference Method, Vol. 24, p. 835-840, 2008/09/03
  • On the Monotonicity of Functional Type SIRMs Connected Fuzzy Reasoning Method and T-S Reasoning Method, Vol. 23, p. 126-131, 2007/08/29
  • On the monotonicity of single input type fuzzy reasoning methods, Hirosato Seki,Hiroaki Ishii,Masaharu Mizumoto, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, Vol. E90A, No. 7, p. 1462-1468, 2007/07
  • On the Property of Single Input Rule Modules Connected Type Fuzzy Reasoning Method, Hirosato SEKI,Masaharu MIZUMOTO,Naoyoshi YUBAZAKI, The Transactions of the Institute of Electronics, Information and Communication Engineers A, Vol. vol.J89-A, No. no.6, p. 557-565, 2006
  • Applicability of Generalized Neural Network-Type SIRMs Method in Medical Data, Orrawan KUMDEE,Hirosato SEKI,Hiroaki ISHII, International Journal of Biomedical Soft Computing and Human Sciences

Publications

  • Lecture Notes in Artifical Intelligence: Next-Generation Applied Intelligence, Springer-Verlag, 2009

Awards

  • Excellent Paper Award, Genki Ohashi,Hirosato Seki,Masahiro Inuiguchi, The 29th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, 2019/09
  • Best Organizing Award, Hirosato Seki, The 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, 2017/11
  • Young Researcher Award, Hirosato Seki, IEEE Computational Intelligence Society Japan Chapter, 2017/09
  • 著述賞, Hirosato Seki,Masaharu Mizumoto, SOFT, 2015/09
  • GOLD Award, Hirosato Seki, IEEE Kansai Section, 2014/02
  • Finalist for the Franklin V. Taylor Memorial Award, Hirosato Seki,Masaharu Mizumoto, IEEE International Conference on Systems, Man and Cybernetics, 2012/10
  • Best Paper Award, Hirosato SEKI, Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence Symposium 2011, 2011/09
  • Best Organizing Award, Hirosato SEKI, The 40th International Conference on Computers & Industrial Engineering, 2010/07
  • Student Paper Award, IEEE Kansai Section, 2010/02
  • 奨励賞, 電気関係学会関西支部連合大会, 2009/04