A novel biological computation method for deriving and resolving discernibility relations

Ikno Kim, Junzo Watada, Jui Yu Wu, Yu Yi Chu

研究成果: 書貢獻/報告類型會議貢獻

摘要

Corporate and advanced information and database technologies make it possible to solve potential and hidden problems, such as uncertainty data interactions, disputable resolutions, unclear processes, etc. In this case, a rough set method can be used to grasp characteristics of the classified objects included in those problems. The rough set method is often used for classifying data while figuring out the distinctive features of the given objects in problem solutions. These given object problems that emerge, especially in database handling and resolving discernibility relations with the rough set method, are often computed by electronic computations. On the other hand, in this paper, we basically focus on taking advantage of biological molecular functions to create a novel biological computation method with which we proposed to derive and resolve all the discernibility relations.

原文英語
主出版物標題Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009
頁面9-14
頁數6
DOIs
出版狀態已發佈 - 2009
事件2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009 - Taichung, 臺灣
持續時間: 六月 22 2009六月 24 2009

其他

其他2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009
國家臺灣
城市Taichung
期間6/22/096/24/09

指紋

Databases
Uncertainty
Technology

ASJC Scopus subject areas

  • Information Systems
  • Biomedical Engineering
  • Health Informatics

引用此文

Kim, I., Watada, J., Wu, J. Y., & Chu, Y. Y. (2009). A novel biological computation method for deriving and resolving discernibility relations. 於 Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009 (頁 9-14). [5211339] https://doi.org/10.1109/BIBE.2009.31

A novel biological computation method for deriving and resolving discernibility relations. / Kim, Ikno; Watada, Junzo; Wu, Jui Yu; Chu, Yu Yi.

Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009. 2009. p. 9-14 5211339.

研究成果: 書貢獻/報告類型會議貢獻

Kim, I, Watada, J, Wu, JY & Chu, YY 2009, A novel biological computation method for deriving and resolving discernibility relations. 於 Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009., 5211339, 頁 9-14, 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009, Taichung, 臺灣, 6/22/09. https://doi.org/10.1109/BIBE.2009.31
Kim I, Watada J, Wu JY, Chu YY. A novel biological computation method for deriving and resolving discernibility relations. 於 Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009. 2009. p. 9-14. 5211339 https://doi.org/10.1109/BIBE.2009.31
Kim, Ikno ; Watada, Junzo ; Wu, Jui Yu ; Chu, Yu Yi. / A novel biological computation method for deriving and resolving discernibility relations. Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009. 2009. 頁 9-14
@inproceedings{b2087e12fece4eb38f0e7b1e35d977f0,
title = "A novel biological computation method for deriving and resolving discernibility relations",
abstract = "Corporate and advanced information and database technologies make it possible to solve potential and hidden problems, such as uncertainty data interactions, disputable resolutions, unclear processes, etc. In this case, a rough set method can be used to grasp characteristics of the classified objects included in those problems. The rough set method is often used for classifying data while figuring out the distinctive features of the given objects in problem solutions. These given object problems that emerge, especially in database handling and resolving discernibility relations with the rough set method, are often computed by electronic computations. On the other hand, in this paper, we basically focus on taking advantage of biological molecular functions to create a novel biological computation method with which we proposed to derive and resolve all the discernibility relations.",
keywords = "Biological computation, Decision matrix, Decision table, Discernibility relation",
author = "Ikno Kim and Junzo Watada and Wu, {Jui Yu} and Chu, {Yu Yi}",
year = "2009",
doi = "10.1109/BIBE.2009.31",
language = "English",
isbn = "9780769536569",
pages = "9--14",
booktitle = "Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009",

}

TY - GEN

T1 - A novel biological computation method for deriving and resolving discernibility relations

AU - Kim, Ikno

AU - Watada, Junzo

AU - Wu, Jui Yu

AU - Chu, Yu Yi

PY - 2009

Y1 - 2009

N2 - Corporate and advanced information and database technologies make it possible to solve potential and hidden problems, such as uncertainty data interactions, disputable resolutions, unclear processes, etc. In this case, a rough set method can be used to grasp characteristics of the classified objects included in those problems. The rough set method is often used for classifying data while figuring out the distinctive features of the given objects in problem solutions. These given object problems that emerge, especially in database handling and resolving discernibility relations with the rough set method, are often computed by electronic computations. On the other hand, in this paper, we basically focus on taking advantage of biological molecular functions to create a novel biological computation method with which we proposed to derive and resolve all the discernibility relations.

AB - Corporate and advanced information and database technologies make it possible to solve potential and hidden problems, such as uncertainty data interactions, disputable resolutions, unclear processes, etc. In this case, a rough set method can be used to grasp characteristics of the classified objects included in those problems. The rough set method is often used for classifying data while figuring out the distinctive features of the given objects in problem solutions. These given object problems that emerge, especially in database handling and resolving discernibility relations with the rough set method, are often computed by electronic computations. On the other hand, in this paper, we basically focus on taking advantage of biological molecular functions to create a novel biological computation method with which we proposed to derive and resolve all the discernibility relations.

KW - Biological computation

KW - Decision matrix

KW - Decision table

KW - Discernibility relation

UR - http://www.scopus.com/inward/record.url?scp=70449449191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449449191&partnerID=8YFLogxK

U2 - 10.1109/BIBE.2009.31

DO - 10.1109/BIBE.2009.31

M3 - Conference contribution

SN - 9780769536569

SP - 9

EP - 14

BT - Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009

ER -