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

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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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  -