IDEAS home Printed from https://ideas.repec.org/a/wly/jnljam/v2012y2012i1n857590.html

Parameterized Local Reduction of Decision Systems

Author

Listed:
  • Degang Chen
  • Yanyan Yang
  • Xiao Zhang

Abstract

One important and valuable topic in rough sets is attribute reduction of a decision system. The existing attribute reductions are designed to just keep confidence of every certain rule as they cannot identify key conditional attributes explicitly for special decision rules. In this paper, we develop the concept of θ‐local reduction in order to offer a minimal description for special θ‐possible decision rules. The approach of discernibility matrix is employed to investigate the structure of a θ‐local reduction and compute all θ‐local reductions. An example of medical diagnosis is employed to illustrate our idea of the θ‐local reduction. Finally, numerical experiments are performed to show that our method proposed in this paper is feasible and valid.

Suggested Citation

  • Degang Chen & Yanyan Yang & Xiao Zhang, 2012. "Parameterized Local Reduction of Decision Systems," Journal of Applied Mathematics, John Wiley & Sons, vol. 2012(1).
    • Handle: RePEc:wly:jnljam:v:2012:y:2012:i:1:n:857590
    DOI: 10.1155/2012/857590
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2012/857590
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2012/857590?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Beynon, Malcolm, 2001. "Reducts within the variable precision rough sets model: A further investigation," European Journal of Operational Research, Elsevier, vol. 134(3), pages 592-605, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Su, Chao-Ton & Hsu, Jyh-Hwa, 2006. "Precision parameter in the variable precision rough sets model: an application," Omega, Elsevier, vol. 34(2), pages 149-157, April.
    2. Li, Renpu & Wang, Zheng-ou, 2004. "Mining classification rules using rough sets and neural networks," European Journal of Operational Research, Elsevier, vol. 157(2), pages 439-448, September.
    3. Xie, Feng & Lin, Yi & Ren, Wenwei, 2011. "Optimizing model for land use/land cover retrieval from remote sensing imagery based on variable precision rough sets," Ecological Modelling, Elsevier, vol. 222(2), pages 232-240.
    4. Malcolm J. Beynon & Mark A. Clatworthy & Michael John Jones, 2004. "The prediction of profitability using accounting narratives: a variable‐precision rough set approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 12(4), pages 227-242, October.
    5. B. Davvaz & M. Jafarzadeh, 2013. "Rough intuitionistic fuzzy information systems," Fuzzy Information and Engineering, Springer, vol. 5(4), pages 445-458, December.
    6. Ruipeng Tong & Yunyun Yang & Xiaofei Ma & Yanwei Zhang & Shian Li & Hongqing Yang, 2019. "Risk Assessment of Miners’ Unsafe Behaviors: A Case Study of Gas Explosion Accidents in Coal Mine, China," IJERPH, MDPI, vol. 16(10), pages 1-18, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jnljam:v:2012:y:2012:i:1:n:857590. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/4185 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.