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

2009 Fiscal Year Final Research Report

• Project/Area Number: 20700192
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Single-year Grants
• Research Field: Sensitivity informatics/Soft computing
• Research Institution: Muroran 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
• Keywords: ラフ集合 / 半構造データ / 特徴抽出

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.

Research Products

• [Journal Article] A Granularity-Based Framework of Deduction, Induction and Abduction (2009)
  • Author(s): Yasuo Kudo, Tetsuya Murai, Seiki Akama
  • Journal Title: International Journal of Approximate Reasoning Vol.50,Issue8 Pages: 1215-1226
  • 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)
  • 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)
  • Peer Reviewed
• [Presentation] On a Criterion of Simi- larity between Partitions Based on Rough Set Theory (2009)
  • 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
• [Presentation] A Heuristic Algorithm for Attribute Reduction Based on Discernibility and Equivalence by Attributes (2009)
  • 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
• [Presentation] On an Extraction Method of Structural Characteristics in Object -Oriented Rough Set Models (2009)
  • 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
• [Presentation] Attribute Reduction as Calculation of Focus in Granular Reasoning (2009)
  • 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
• [Presentation] Decision Matrices for Semi-Structured Decision Rules in Object-Oriented Rough Sets (2008)
  • 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
• [Presentation] An Evaluation Method of Relative Reducts Based on Roughness of Partitions (2008)
  • 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