Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

By Adjusting Keyword Frequency and Separating Keyword into Different Layers to Improve Readability of KeyGraph in Decision Making

Authors
Fang-Cheng Hsu1, Yen-Chih Wang
1Department of Information Management, Aletheia University
Corresponding Author
Fang-Cheng Hsu
Available Online October 2006.
DOI
10.2991/jcis.2006.217How to use a DOI?
Keywords
KeyGraph, Chance discovery, Value focused thinking
Abstract

Providing qualified documents are expected helpful for KeyGraph to translate the documents an appropriate and easy read KeyGraph diagram. And further, to discover worthy chances for decision making. We proposed 2 preprocessing strategies for assuring appropriate quality of documents, especially for decision makers when they try to discover chances with KeyGraph. A case study of INSTANT MESSAGER is used to verify the validity and readability of the proposed strategies. The results shown that the proposed strategies are helpful for creating readability KeyGraph diagrams, and further to create clear scenarios for discovering chances.

Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
Series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
10.2991/jcis.2006.217How to use a DOI?
Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fang-Cheng Hsu
AU  - Yen-Chih Wang
PY  - 2006/10
DA  - 2006/10
TI  - By Adjusting Keyword Frequency and Separating Keyword into Different Layers to Improve Readability of KeyGraph in Decision Making
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 421
EP  - 424
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.217
DO  - 10.2991/jcis.2006.217
ID  - Hsu2006/10
ER  -