Support of Data Analysis According to Decision Making Strategy by Using Keyword Map Equipped with Relevance Balance Controller
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- KAJINAMI Tomoki
- Tokyo Metropolitan University
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- MAKIHARA Takashi
- Tokyo Metropolitan University
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- OGASAWARA Toshiyuki
- Tokyo Metropolitan Institute of Technology
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- TAKAMA Yasufumi
- Tokyo Metropolitan University
Bibliographic Information
- Other Title
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- 関連バランス制御機能を組み込んだキーワードマップによる意思決定方略に応じたデータ分析の支援
- カンレン バランス セイギョ キノウ オ クミコンダ キーワードマップ ニ ヨル イシ ケッテイ ホウリャク ニ オウジタ データ ブンセキ ノ シエン
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Abstract
This paper proposes a keyword map equipped with a relevance balance controller for supporting data analysis according to compensatory/non-compensatory decision making strategy. A keyword map has been proposed as general-purpose interactive graph visualization tool and applied to various decision making tasks. However, it cannot support data analysis according to compensatory/non-compensatory decision making strategy, because only single relationship type is used. The proposed relevance balance controller enables a user to dynamically adjust weight of each attribute for relationship calculation. Experimental results show the proposed system can provide various viewpoints and support data analysis according to compensatory/non-compensatory decision making strategy.
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 21 (6), 1067-1077, 2009
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390282680164141568
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- NII Article ID
- 10025995927
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 10526189
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed