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Study on Methods of Kansei Data Analysis

Research Project

Project/Area Number 14580414
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Intelligent informatics
Research InstitutionJapan Advanced Institute of Science and Technology

Principal Investigator

NAKAMORI Yoshiteru  Japan Advanced Institute of Science and Technology, School of Knowledge Science, Professor, 知識科学研究科, 教授 (30148598)

Project Period (FY) 2002 – 2004
Project Status Completed (Fiscal Year 2004)
Budget Amount *help
¥2,900,000 (Direct Cost: ¥2,900,000)
Fiscal Year 2004: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2003: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2002: ¥1,300,000 (Direct Cost: ¥1,300,000)
KeywordsKansei Data / Multivariable Analysis / Knowledge Representation / Fuzzy Sets / Ensemble Model / Context Model / アンサン・モデルブル
Research Abstract

Sets of subjective evaluation values of objects by the subjective evaluation standard are called "sensibility data" or "kansei data" here. For instance, in case of the evaluation of products we often use the word "externals" or "gorgeous", in case of the evaluation of environments we often say "I feel comfortable", or "I feel touch with nature", and in case of the evaluation of people we often say "he is reliable" or "she is pleasant", etc. The sensibility data is usually given as evaluation values of five or seven levels. It is an extremely vague value invented by the emergence function in the brain that the individual doesn't understand well either. "Sensitivity data" contain "the complexity in the evaluation object itself" in addition to "the complexity in recoginition of people".
In this research, we have developed the identification method of "context model (context model)" that pays attention to vagueness in the evaluation, and "ensemble model" that pays attention to vagueness in the context. An "ensemble model" is a model that expresses the ensemble of sensibilities of people caught in relating to the whole, and a "context model" is a model that expresses the background, the scene, the situation, and the context in the evaluation. The "ensemble model" is an original model of treating the whole at the same time with the individual in one model. On the other hand, if the "context model" reads the context in a different way as the condition, it is a commonsense idea in the field of the artificial intelligence. It is thought that this research can contribute to the knowledge science in which a main topic is to transform tacit knowledge into explicit one.

Report

(4 results)
  • 2004 Annual Research Report   Final Research Report Summary
  • 2003 Annual Research Report
  • 2002 Annual Research Report
  • Research Products

    (21 results)

All 2004 2003 Other

All Journal Article (9 results) Publications (12 results)

  • [Journal Article] 感性データ解析のためのファジィ数量分析手法2004

    • Author(s)
      中森義輝
    • Journal Title

      システム/制御/情報 48-1

      Pages: 60-69

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2004 Final Research Report Summary
  • [Journal Article] A Context Model for Fuzzy Concept Analysis Based upon Modal Logic2004

    • Author(s)
      V.N.Huynh, Y.Nakamori, T.B.Ho, G.Resconi
    • Journal Title

      Information Sciences 160

      Pages: 111-129

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2004 Annual Research Report 2004 Final Research Report Summary
  • [Journal Article] An Alternative Extension of the k-Means Algorithm for Clustering Categorical Data2004

    • Author(s)
      O.M.San, V.N.Huynh, Y.Nakamori
    • Journal Title

      International Journal of Applied Mathematics and Computer Science 14-2

      Pages: 241-247

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2004 Annual Research Report 2004 Final Research Report Summary
  • [Journal Article] A Context-dependent Knowledge Model for Evaluation of Regional Environment2004

    • Author(s)
      S.Kawano, V.N.Huynh, M.Ryoke, Y.Nakamori
    • Journal Title

      Environmental Modelling and Software 20

      Pages: 343-352

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2004 Annual Research Report 2004 Final Research Report Summary
  • [Journal Article] 感性データ解析のためのファジィ数量分析手法2004

    • Author(s)
      中森義輝
    • Journal Title

      システム/制御/情報 48・1

      Pages: 60-69

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Systems Methodology and Mathematical Models for Knowledge Management2003

    • Author(s)
      Y.Nakamori
    • Journal Title

      Journal of Systems Science and Systems Engineering 12-1

      Pages: 49-72

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2004 Final Research Report Summary
  • [Journal Article] An Agent-based Approach to Identification Prediction Models2003

    • Author(s)
      T.Ma, Y.Nakamori
    • Journal Title

      International Journal of Uncertainty, Fuzziness and Knowledge-based Systems 11-4

      Pages: 495-514

    • NAID

      120000861779

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2004 Final Research Report Summary
  • [Journal Article] An Agent-based Approach for Predictions Based on Multi-dimensional Complex Data

    • Author(s)
      T.Ma, Y.Nakamori
    • Journal Title

      International Journal of Information Sciences (to appear)

    • NAID

      120000861778

    • Related Report
      2004 Annual Research Report
  • [Journal Article] A Satisfactory-oriented Approach to Multi-expert Decision-making under Linguistic Assessments

    • Author(s)
      V.N.Huynh, Y.Nakamori
    • Journal Title

      IEEE Trans. on Systems, Man and Cybernetics, Part B (to appear)

    • Related Report
      2004 Annual Research Report
  • [Publications] Tieju Ma, Yoshiteru Nakamori: "An Agent-based Approach to Identification Prediction Models"Int.J.of Uncertainty, Fuzziness and Knowledge-based Systems. 11・4. 495-514 (2003)

    • Related Report
      2003 Annual Research Report
  • [Publications] Ohn Mar San, Van-Nam Huynh, Yoshiteru Nakamori: "A Clustering Algorithm for Mixed Numeric and Categorical Data"Journal of Systems Science and Complexity. 16・4. 562-571 (2003)

    • Related Report
      2003 Annual Research Report
  • [Publications] 中森義輝, 領家美奈, 河野小夜子: "感性評価データの主成分分析に関する考察"知能と情報(日本知能情報ファジィ学会誌). 15・6. 658-676 (2003)

    • Related Report
      2003 Annual Research Report
  • [Publications] 領家美奈, 中森義輝: "エージェントによるデータベースからのルール抽出法"知能と情報(日本知能情報ファジィ学会誌). 16・1. 60-69 (2004)

    • Related Report
      2003 Annual Research Report
  • [Publications] Mina Ryoke, Yoshiteru Nakamori: "Agent-based Approach to Complex Systems Modeling"European Journal of Operational Research. (in press).

    • Related Report
      2003 Annual Research Report
  • [Publications] Sayoko Kawano, Van Nam Huynh, Mina Ryoke, Yoshiteru Nakamori: "A Context-dependent Knowledge Model for Evaluation of Regional Environment"Environmental Modelling and Software. (in press).

    • Related Report
      2003 Annual Research Report
  • [Publications] Yoshiteru Nakamori: "Systems Methodology and Mathematical Models for Knowledge Management"Journal of Systems Science and Systems Engineering. 12・1. 1-20 (2003)

    • Related Report
      2002 Annual Research Report
  • [Publications] 河野小夜子, Van Nam Huynh, 領家美奈, 中森義輝: "ソフトデータに基づく環境評価モデル"システム制御情報学会論文誌. 15・12. 652-662 (2002)

    • Related Report
      2002 Annual Research Report
  • [Publications] 河野小夜子, 中森義輝: "あいまい性を考慮した数量化III類手法による感性データの分析"日本感性工学会誌. 2・2. 33-42 (2002)

    • Related Report
      2002 Annual Research Report
  • [Publications] Van Nam Huynh, Tuo Bao Ho, Yoshiteru Nakamori: "A Parametric Representation of Linguistic Hedges in Zadeh's Fuzzy Logic"International Journal of Approximate Reasoning. 30・3. 203-223 (2002)

    • Related Report
      2002 Annual Research Report
  • [Publications] Yoshiteru Nakamori: "Context-Dependent Modeling for Knowledge Management"Proc. of KSS2002, International Symposium on Knowledge and Systems. 1-5 (2002)

    • Related Report
      2002 Annual Research Report
  • [Publications] Yoshiteru Nakamori: "Systems Methodology for Knowledge Management and Creation"Proc. of International Conference on Systems, Development and Self-organization. 210-214 (2002)

    • Related Report
      2002 Annual Research Report

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Published: 2002-04-01   Modified: 2016-04-21  

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