Motohide Umano - researchr alias

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Viewing Publication 1 - 45 from 45

2018

Partition of Time Series Using Hierarchical ClusteringKatsutoshi Takahashi, Motohide Umano, Noriyuki Fujimoto. scisisis 2018: 843-848 [doi]

2017

Tuning of fuzzy rules with a real-codec genetic algorithm in car racing gameAkifumi Ise, Motohide Umano, Noriyuki Fujimoto. ifsa 2017: 1-6 [doi]

2014

Privacy preserving extraction of fuzzy rules from distributed data with different attributesJiang Jinsai, Motohide Umano. scisisis 2014: 1180-1185 [doi]

2013

Privacy preserving extraction of fuzzy rules from distributed dataJiang Jinsai, Motohide Umano, Kazuhisa Seta. fuzzIEEE 2013: 1-6 [doi]

2012

Dynamic fuzzy Q-learning with facility of tuning and removing fuzzy rulesYu Hosoya, Motohide Umano. fuzzIEEE 2012: 1-8 [doi]

Retrieval of similar time series with similarity degree of linguistic expressions for global trend and local featuresKatsutoshi Takahashi, Motohide Umano. fuzzIEEE 2012: 1-8 [doi]

2011

An Integrated Framework as a Foundation to Develop Meta-learning Support SystemsKazuhisa Seta, Hiroshi Maeno, Motohide Umano, Mitsuru Ikeda. aied 2011: 554-556 [doi]

Presentation Based Meta-learning Support System Tightens Learners' Evaluation CriteriaKazuhisa Seta, Chihiro Hara, Minoru Fujiwara, Motohide Umano, Mitsuru Ikeda. kes 2011: 288-297 [doi]

2009

Improved method for linguistic expression of time series with global trend and local featuresMotohide Umano, Mitsuhiro Okamura, Kazuhisa Seta. fuzzIEEE 2009: 1169-1174 [doi]

2008

Visualization with Voronoi tessellation and moving output units in Self-Organizing map of the real-number systemYuji Matsumoto, Motohide Umano, Masahiro Inuiguchi. ijcnn 2008: 3428-3434 [doi]

Learning Environment for Improving Critical Thinking Skills Based on New Synthesis TheoryHiroki Satake, Haruna Marumoto, Kazuhisa Seta, Motohide Umano, Mitsuru Ikeda. kes 2008: 580-587 [doi]

Learning environment for improving Critical Thinking skills in nursing domainKazuhisa Seta, Hiroki Satake, Motohide Umano, Mitsuru Ikeda. ijaip, 1(2):196-210, 2008. [doi]

Learning by switching generation and reasoning methods - acquisition of meta-knowledge for switching with reinforcement learningMasahiro Tomaru, Motohide Umano, Yuji Matsumoto, Kazuhisa Seta. fuzzIEEE 2008: 1928-1934 [doi]

Verbal Expression of Time Series with Global Trend and Local FeaturesMotohide Umano, Naoyuki Koizumi. ntcir 2008: [doi]

2007

Learning Phase Model Based Scaffolding and Its Fading to Facilitate Collaborative Learning of Critical ThinkingKazuhisa Seta, Hiroki Satake, Motohide Umano, Mitsuru Ikeda. kes 2007: 590-599 [doi]

2006

Learning by Switching Knowledge Representations-Limiting the Number of Stored DataYuji Matsumoto, Motohide Umano, Masahiro Tomaru, Kazuhisa Seta. fuzzIEEE 2006: 144-151 [doi]

An Ontology based Reflection Support System to Encourage Learning from MistakesKazuhisa Seta, Tkashi Kajino, Motohide Umano, Mitsuru Ikeda. aia 2006: 142-149

Reinforcement Learning of Agent with a Staged View in Distance and Direction for the Pursuit ProblemTadayoshi Yamamura, Motohide Umano, Kazuhisa Seta. fuzzIEEE 2006: 137-143 [doi]

2005

Human Factor Modeling for Development of Learning Support Systems Facilitating Meta-CognitionKazuhisa Seta, Kei Tachibana, Motohide Umano, Mitsuru Ikeda. ICCE 2005: 396-403

2004

An Ontology-Based Planning Navigation in Problem-Solving Oriented Learning ProcessesKazuhisa Seta, Kei Tachibana, Motohide Umano, Mitsuru Ikeda. its 2004: 877-879 [doi]

An ontological approach to interactive navigation for problem solving oriented learning processesKazuhisa Seta, Kei Tachibana, Ikuyo Fujisawa, Motohide Umano. itse, 1(3):185-194, 2004. [doi]

2003

Interactive Navigation for Problem-Solving Oriented Learning ProcessesKazuhisa Seta, Kei Tachibana, Motohide Umano. kes 2003: 466-473 [doi]

2002

Hierarchical semi-numeric method for pairwise fuzzy group decision makingM. Marimin, Motohide Umano, Itsuo Hatono, Hiroyuki Tamura. tsmc, 32(5):691-700, 2002.

A Support System for Modeling Problem Solving WorkflowKazuhisa Seta, Motohide Umano. ICCE 2002: 1565-1566

Learning by switching generation and reasoning methods in several knowledge representations towards the simulation of human learning processMotohide Umano, Yuji Matsumoto 0001, Yushi Uno, Kazuhisa Seta. fuzzIEEE 2002: 809-814 [doi]

2001

Several Results on De Morgan Algebra and Kleene Algebra of Fuzzy LogicJianming Deng, Motohide Umano, Tetsuhisa Oda, Yushi Uno. fuzzIEEE 2001: 1144-1147

An Integration of Fuzzy and Two-Valued Logics on Natural Language SemanticsToshiyuki Maeda, Isao Hayashi, Motohide Umano, Lakhmi C. Jain. his 2002: 301-311

2000

Extraction of quantified fuzzy rules from numerical dataMotohide Umano, Takahiro Okada, Itsuo Hatono, Hiroyuki Tamura. fuzzIEEE 2000: 1062-1067 [doi]

1998

Acquisition of fuzzy knowledge by NN and GA-A survey of the fusion and union methods proposed in JapanIsao Hayashi, Motohide Umano, Toshiyuki Maeda, A. Bastian, Lakhmi C. Jain. kes 1998: 69-78 [doi]

Linguistic labels for expressing fuzzy preference relations in fuzzy group decision makingM. Marimin, Motohide Umano, Itsuo Hatono, Hiroyuki Tamura. tsmc, 28(2):205-218, 1998.

1997

Non-Numeric Method for Pairwise Fuzzy Group-Decision AnalysisMarimin, Motohide Umano, Itsuo Hatono, Hiroyuki Tamura. jifs, 5(3):257-269, 1997. [doi]

Acquisition of fuzzy rules using fuzzy neural networks with forgettingMotohide Umano, Shiro Fukunaka, Itsuo Hatono, Hiroyuki Tamura. icnn 1997: 2369-2373 [doi]

1996

Performance evaluation of distributed real-time scheduling systems using distributed production system simulatorItsuo Hatono, T. Nishiyama, Motohide Umano, Hiroyuki Tamura. ifip5-7 1998: 423-434

Implementation of multistep fuzzy reasoning shellIsao Hayashi, Eiichi Naito, Hiroyoshi Nomura, Noboru Wakami, Motohide Umano. scjapan, 27(2):87-101, 1996. [doi]

Expert system for new product strategy developmentM. Marimin, L. Herlina, A. Aulia, Motohide Umano, Itsuo Hatono, Hiroyuki Tamura. ifip5-7 1998: 303-314

A Fast Pattern-matching Algorithm Using Matching Candidates for Production SystemsMitsunori Matsushita, Motohide Umano, Itsuo Hatono, Hiroyuki Tamura. pricai 1996: 646-656

EditorialSadaaki Miyamoto, Motohide Umano. ijis, 11(9):611-612, 1996. [doi]

Neuro-fuzzy hybrid control system of tank level in petroleum plantTetsuji Tani, Shunji Murakoshi, Motohide Umano. tfs, 4(3):360-368, 1996. [doi]

1995

Neuro-fuzzy hybrid control system of nonlinear process in petroleum plantTetsuji Tani, Tomonari Sasada, Makoto Utashiro, Motohide Umano, Kazuo Tanaka. icnn 1995: 2501-2506 [doi]

1994

Fuzzy Relational Algebra for Possibility-Distribution-Fuzzy-Relational Model of Fuzzy DataMotohide Umano, Satoru Fukami. jiis, 3(1):7-27, 1994.

Fuzzy Expert System ShellsMotohide Umano, Itsuo Hatono, Hiroyuki Tamura. ictai 1994: 219-225

1993

On Some Attempts for Improving Learning Performance in Multi-layered Neural Networks of Back-propagation MethodsMotohide Umano, Teruhiko Teraoka, Itsuo Hatono, Hiroyuki Tamura. In Toshi Takamori, Kazuo Tsuchiya, editors, Robotics, Mechatronics and Manufacturing Systems. pages 755-760, Elsevier, 1993. [doi]

1979

A System for Fuzzy ReasoningMotohide Umano, Masaharu Mizumoto, Kokichi Tanaka. IJCAI 1979: 917-919

1978

::FSTDS:: System: A fuzzy-set manipulation systemMotohide Umano, Masaharu Mizumoto, Kokichi Tanaka. isci, 14(2):115-159, 1978. [doi]

1977

Implementation of a Fuzzy-Set Theoretic Data Structure System (Abstract)Masaharu Mizumoto, Motohide Umano, Kokichi Tanaka. VLDB 1977: 490 [doi]

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