A knowledge-based decision-support system using decision rules and ontologies
Project/Area Number |
20700147
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
|
Research Institution | Iwate University (2010-2011) National Institute of Information and Communications Technology (2008-2009) |
Principal Investigator |
KANEIWA Ken 岩手大学, 工学部, 准教授 (00342626)
|
Project Period (FY) |
2008 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2009: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2008: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | オントロジー / 決定ルール / 知識ベース / 知識構造の抽出 |
Research Abstract |
We have developed a logical reasoning system and rough set data mining algorithm for inferring decision rules and conceptual ontologies. These system and algorithm provide a basis of the knowledge-based system that contains logical and ontological reasoning and data analysis. In addition, we have proposed a method that connects reasoning to a decision support system such that rule and ontology reasoning from users' keywords are used to support their decision making.
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Report
(6 results)
Research Products
(34 results)