A novel biological computation method for deriving and resolving discernibility relations

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish
    Title of host publicationProceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009
    Pages9-14
    Number of pages6
    DOIs
    Publication statusPublished - 2009
    Event2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009 - Taichung
    Duration: 2009 Jun 222009 Jun 24

    Other

    Other2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009
    CityTaichung
    Period09/6/2209/6/24

    Fingerprint

    Databases
    Uncertainty
    Technology

    Keywords

    • Biological computation
    • Decision matrix
    • Decision table
    • Discernibility relation

    ASJC Scopus subject areas

    • Information Systems
    • Biomedical Engineering
    • Health Informatics

    Cite this

    Kim, I., Watada, J., Wu, J. Y., & Chu, Y. Y. (2009). A novel biological computation method for deriving and resolving discernibility relations. In Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009 (pp. 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.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Kim, I, Watada, J, Wu, JY & Chu, YY 2009, A novel biological computation method for deriving and resolving discernibility relations. in Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009., 5211339, pp. 9-14, 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009, Taichung, 09/6/22. 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. In 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. pp. 9-14
    @inproceedings{60235fa0253346d599586e49e9dd7cbc,
    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 -