Project/Area Number |
22300074
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Sensitivity informatics/Soft computing
|
Research Institution | Japan Advanced Institute of Science and Technology |
Principal Investigator |
NAKAMORI YOSHITERU 北陸先端科学技術大学院大学, 知識科学研究科, 教授 (30148598)
|
Co-Investigator(Kenkyū-buntansha) |
HUYNH Van Nam 北陸先端科学技術大学院大学, 知識科学研究科, 准教授 (00362020)
|
Co-Investigator(Renkei-kenkyūsha) |
RYOKE Mina 筑波大学, ビジネス科学研究科, 准教授 (10303348)
|
Project Period (FY) |
2010-04-01 – 2014-03-31
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2013: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2012: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2011: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2010: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
|
Keywords | 意思決定分析 / 感性情報 / 文脈情報 / 情報統合化 / 推薦システム |
Research Abstract |
We first carried out research on application and verification of information aggregation methods, especially selection of aggregation operators, by developing our previous research further. Next, we developed theories of decision analysis taking into account contextual information, in addition to physical and kansei information. Based on these theories, we developed a recommendation system that deals with those three types of information, and applied this system to sale of traditional crafts. Finally, integrating the developed theories, utilizing the experience of developing a recommendation system, and adopting the theory of knowledge construction systems that the principal investigator has developed, we proposed a methodology of target-oriented kansei decision analysis.
|