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A study on preference extraction using interaction of structure and content based on object-oriented rough sets

Research Project

Project/Area Number 20700192
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeSingle-year Grants
Research Field Sensitivity informatics/Soft computing
Research InstitutionMuroran Institute of Technology

Principal Investigator

KUDO Yasuo  Muroran Institute of Technology, 大学院・工学研究科, 助教 (90360966)

Project Period (FY) 2008 – 2009
Project Status Completed (Fiscal Year 2009)
Budget Amount *help
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywordsラフ集合 / 半構造データ / 特徴抽出 / オブジェクト指向ラフ集合 / 構造的特徴 / 内容的特徴 / 感性情報処理
Research Abstract

In this study, we proposed extraction methods of users' preferences from semi-structured data using object-oriented rough set models. As the results of this study, we developed a part of theoretical basis for interactive treatments of structures and contents of given semi-structured data based on object-oriented rough set models. Moreover, we also proposed refined preference extraction methods and evaluation methods of extracted results.

Report

(3 results)
  • 2009 Annual Research Report   Final Research Report ( PDF )
  • 2008 Annual Research Report
  • Research Products

    (14 results)

All 2010 2009 2008 Other

All Journal Article (6 results) (of which Peer Reviewed: 6 results) Presentation (8 results)

  • [Journal Article] An Evaluation Method of Relative Reducts Based on Roughness of Partitions2010

    • Author(s)
      Yasuo Kudo
    • Journal Title

      International Journal of Cognitive Informatics and Natural Intelligence Vol, 4 No.2(In press)

    • Related Report
      2009 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Granularity-Based Framework of Deduction, Induction and Abduction2009

    • Author(s)
      Yasuo Kudo, Tetsuya Murai, Seiki Akama
    • Journal Title

      International Journal of Approximate Reasoning Vol.50,Issue8

      Pages: 1215-1226

    • Related Report
      2009 Final Research Report
    • Peer Reviewed
  • [Journal Article] A Granularity-Based Framework of Deduction, Induction, and Abduction2009

    • Author(s)
      Yasuo Kudo
    • Journal Title

      International Journal of Approximate Reasoning (To appear)

    • Related Report
      2008 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Note on Characteristic Combination Patterns about How to Combine Objects in Obiect-Oriented Rough Set Models2008

    • Author(s)
      Yasuo Kudo
    • Journal Title

      Rough Sets and Knowledge Technology LNAI5009

      Pages: 115-123

    • Related Report
      2008 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes

    • Author(s)
      Yasuo Kudo, Tetsuya Murai
    • Journal Title

      Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.15,No.1(to appear)

    • Related Report
      2009 Final Research Report
    • Peer Reviewed
  • [Journal Article] An Evaluation Method of Relative Reducts Based on Roughness of Partitions

    • Author(s)
      Yasuo Kudo, Tetsuya Murai
    • Journal Title

      International Journal of Cognitive Informatics and Natural intelligence Vol.4,No.2(in press)

    • Related Report
      2009 Final Research Report
    • Peer Reviewed
  • [Presentation] On a Criterion of Simi- larity between Partitions Based on Rough Set Theory2009

    • Author(s)
      Yasuo Kudo
    • Organizer
      The 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
    • Place of Presentation
      デリー (インド).
    • Year and Date
      2009-12-16
    • Related Report
      2009 Final Research Report
  • [Presentation] A Heuristic Algorithm for Attribute Reduction Based on Discernibility and Equivalence by Attributes2009

    • Author(s)
      Yasuo Kudo
    • Organizer
      The 6th International Conference on Modeling Decisions for Artificial Intelligence
    • Place of Presentation
      淡路島(日本)
    • Year and Date
      2009-11-30
    • Related Report
      2009 Final Research Report
  • [Presentation] A Heuristic Algorithm for Attribute Reduction Based on Discernibility and Equivalence by Attributes2009

    • Author(s)
      Yasuo Kudo
    • Organizer
      6^<th> International Conference on Modeling Decisions for Artificial Intelligence
    • Place of Presentation
      淡路島
    • Year and Date
      2009-11-30
    • Related Report
      2009 Annual Research Report
  • [Presentation] On an Extraction Method of Structural Characteristics in Object -Oriented Rough Set Models2009

    • Author(s)
      Yasuo Kudo
    • Organizer
      2009 IEEE International Conference on Granular Computing
    • Place of Presentation
      南昌(中国)
    • Year and Date
      2009-08-17
    • Related Report
      2009 Final Research Report
  • [Presentation] Attribute Reduction as Calculation of Focus in Granular Reasoning2009

    • Author(s)
      Yasuo Kudo
    • Organizer
      The 39th International Symposium on Multiple-Valued Logic
    • Place of Presentation
      那覇(日本)
    • Year and Date
      2009-05-23
    • Related Report
      2009 Final Research Report
  • [Presentation] Decision Matrices for Semi-Structured Decision Rules in Object-Oriented Rough Sets2008

    • Author(s)
      Yasuo Kudo
    • Organizer
      Inter- national Workshop on Soft Computing for Knowledge Technology
    • Place of Presentation
      ハノイ(ベトナム)
    • Year and Date
      2008-12-16
    • Related Report
      2009 Final Research Report
  • [Presentation] An Evaluation Method of Relative Reducts Based on Roughness of Partitions2008

    • Author(s)
      Yasuo Kudo
    • Organizer
      The 6th International Conference on Rough Sets and Current Trend in Computing
    • Place of Presentation
      アクロン(米国)
    • Year and Date
      2008-10-25
    • Related Report
      2009 Final Research Report
  • [Presentation] An Evaluation Method of Relative Reducts Based on Roughness of Partitions2008

    • Author(s)
      Yasuo Kudo
    • Organizer
      The 6^<th> International Conference on Rough Sets and Current Trends in Computing (RSCTC2008)
    • Place of Presentation
      Akron (Ohio, USA)
    • Year and Date
      2008-10-25
    • Related Report
      2008 Annual Research Report

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Published: 2008-04-01   Modified: 2016-04-21  

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