Robustness Concern in Flexible Decision Aiding

2016 Fiscal Year Annual Research Report

• Project/Area Number: 26350423
• Research Institution: Osaka University
• Principal Investigator: 乾口 雅弘 大阪大学, 基礎工学研究科, 教授 (60193570)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 不精密ルール / アンサンブル学習 / 匿名化 / 識別行列 / 順序回帰 / 区間効用モデル / AHP / 区間重要度

Outline of Annual Research Achievements

昨年度に述べた今後の推進方策(1)～(3)に関して，以下の成果を得た．
(1)ルールとロバストネス：不精密ルールへのアンサンブル学習の導入を試みたが，分類精度が向上するものの有意差が得られないことが示された．これにより，不精密ルール群の高い有効性が示された．また，要求される匿名性をもつ不明確ルールの存在条件や，匿名性を保存する属性縮約を識別行列を用いて特徴づけられることを明らかにした．
(2)順序回帰：与えられた選好情報の下で，各代替案間の選好の成立確率が数値実験で算出できることを明らかにし，区間順序回帰で推定される選好の成立確率を調べた．その結果，大半は高い確率で成立するが，一部はかなり低い確率でしか成立しないことが判明した．これによりモデル推定に用いる評価関数に改良の余地が残されていることが分かった．一方，区間順序回帰へのファジィ分割の導入による非線形モデルを考案し，線形計画問題を解くことによりモデル同定できるこを明らかにした．これにより線形モデルでは扱えない選好情報を取り扱えるようになった．また同時に，ファジィ分割による非線形化と同等のパラメータ数をもつ従来モデルとのいずれを用いるべきかという興味深い課題が発掘できた．
(3)区間AHP：区間重要度の望ましい性質の検討中に，整合した区間一対比較行列が与えられた場合に，内側からの近似で得られる区間重要度が外側からの近似で得られるものより大きくなるという意外な性質を発見した．これは，整合した区間一対行列を共有する複数の正規な区間重要度ベクトルが存在することによること明らかにした．また，この性質を考慮した区間重要度の一推定法を提案した．通常の一対比較行列が与えられた場合に，パラメータを含まない区間重要度推定法を提案した．この手法がパラメータ調整した緩和法に大きく劣らず，従来法より良い推定結果を導く可能性を数値実験により提示した．

Research Products

• [Int'l Joint Research] ポズナン工科大学(ポーランド)
  • Country Name: POLAND
  • Counterpart Institution: ポズナン工科大学
• [Int'l Joint Research] カターニア大学(イタリア)
  • Country Name: ITALY
  • Counterpart Institution: カターニア大学
• [Journal Article] Role of robustness measure in rule induction (2016)
  • Author(s): Motoyuki Ohki, Eiji Sekiya, Masahiro Inuiguchi
  • Journal Title: Journal of Advanced Computational Intelligence and Intelligent Informatics Volume: 20(4) Pages: 580-589
  • DOI: doi: 10.20965/jaciii.2016.p0580
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Presentation] Non-uniqueness of Interval Weight Vector to Consistent Interval Pairwise Comparison Matrix and Logarithmic Estimation Methods (2016)
  • Author(s): Masahiro Inuiguchi
  • Organizer: 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making
  • Place of Presentation: Da Nang, Vietnam
  • Year and Date: 2016-11-29 – 2016-12-03
  • Int'l Joint Research
• [Presentation] A Clustering Approach for Decision Rule Publishing (2016)
  • Author(s): Motoyuki Ohki, Masahiro Inuiguchi
  • Organizer: The 7th International Symposium of Innovative Management, Information & Production, and The 13th International Symposium on Management Engineering
  • Place of Presentation: Kunibiki Messe, Matsue, Shimane, Japan
  • Year and Date: 2016-10-28 – 2016-10-30
  • Int'l Joint Research
• [Presentation] Rough Sets and Imprecise Modeling (2016)
  • Author(s): Masahiro Inuiguchi
  • Organizer: The 7th International Symposium of Innovative Management, Information & Production, and The 13th International Symposium on Management Engineering
  • Place of Presentation: Kunibiki Messe, Matsue, Japan
  • Year and Date: 2016-10-28 – 2016-10-30
  • Int'l Joint Research / Invited
• [Presentation] Rough Set Approaches to Imprecise Modeling (2016)
  • Author(s): Masahiro Inuiguchi
  • Organizer: International Joint Conference on Rough Sets
  • Place of Presentation: Universidad de Chile, Santiago. Chile
  • Year and Date: 2016-10-07 – 2016-10-11
  • Int'l Joint Research / Invited
• [Presentation] Estimating interval weights from interval pairwise comparison matrix (2016)
  • Author(s): Masahiro Inuiguchi
  • Organizer: EURO Working Group on Multiple Criteria Decision Aiding
  • Place of Presentation: Vienna University, Vienna, Austria
  • Year and Date: 2016-09-22 – 2016-09-24
  • Int'l Joint Research
• [Presentation] Nested interval UTA models expressing different confidence levels of preference data (2016)
  • Author(s): Masahiro Inuiguchi, Tomo Sugiyama, Roman Slowinski, Salvatore Greco
  • Organizer: The 13th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2016)
  • Place of Presentation: Sant Julia de Loria, Andorra
  • Year and Date: 2016-09-19 – 2016-09-21
  • Int'l Joint Research
• [Presentation] Data Anonymization with Imprecise Rules against Quick Check Attacks (2016)
  • Author(s): Masahiro Inuiguchi, Keisuke Washimi
  • Organizer: The 19th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty
  • Place of Presentation: Matsumoto University, Matsumoto, Nagano, Japan
  • Year and Date: 2016-09-05 – 2016-09-07
  • Int'l Joint Research
• [Presentation] Decision Rule Clustering for Data Publishing (2016)
  • Author(s): Motoyuki Ohki, Masahiro Inuiguchi
  • Organizer: The 19th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty
  • Place of Presentation: Matsumoto University, Matsumoto, Nagano, Japan
  • Year and Date: 2016-09-05 – 2016-09-07
  • Int'l Joint Research
• [Presentation] Variety of Rough Set Based Attribute Importance (2016)
  • Author(s): Masahiro Inuiguchi
  • Organizer: 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems
  • Place of Presentation: Hokkaigakuen University, Sapporo, Hokkaido, Japan
  • Year and Date: 2016-08-25 – 2016-08-28
  • Int'l Joint Research
• [Presentation] Improvement of Interval Weight Estimation in Interval AHP (2016)
  • Author(s): Shigeaki Innan, Masahiro Inuiguchi
  • Organizer: 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems
  • Place of Presentation: Hokkaigakuen University, Sapporo, Hokkaido, Japan
  • Year and Date: 2016-08-25 – 2016-08-28
  • Int'l Joint Research
• [Presentation] Interval UTA methods under different self-confidence levels of preference data (2016)
  • Author(s): Masahiro Inuiguchi, Tomo Sugiyama, Roman Slowinski, Salvatore Greco
  • Organizer: 28th European Conference on Operational Research
  • Place of Presentation: Poznan University of Technology, Poznan, Poland
  • Year and Date: 2016-07-03 – 2016-07-06
  • Int'l Joint Research