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Multiple Trait Selection and Classification of Genotype — A Data Mining Approach

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Listed:
  • Chien-Hsiung Lin

    (Department of Industry and Business Management, The Open University of Kaohsiung, Kaohsiung 812, Taiwan, ROC)

  • Yi-Hsin Liu

    (Department of Mathematics, University of Nebraska at Omaha, Omaha, Nebraska, 68188, USA)

Abstract

A set of data represented by a set of real numbers can be handled by the computer much easier than non-real valued data. This paper develops bicriteria linear program solution through a fuzzy mathematical programming approach which assigns a real number to each member of the data. This method integrates data information and the decision maker's objective opinion to construct a tool (function) of selection and classification.

Suggested Citation

  • Chien-Hsiung Lin & Yi-Hsin Liu, 2003. "Multiple Trait Selection and Classification of Genotype — A Data Mining Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 445-457.
    • Handle: RePEc:wsi:ijitdm:v:02:y:2003:i:03:n:s0219622003000756
    DOI: 10.1142/S0219622003000756
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    References listed on IDEAS

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    1. Chien-Hsiung Lin & Khalid J. Siddiqui & Yi-Hsin Liu, 2000. "Multiple Objective Linear Programming To Analyze And Classify Business Information," World Scientific Book Chapters, in: Yong Shi & Milan Zeleny (ed.), New Frontiers Of Decision Making For The Information Technology Era, chapter 20, pages 373-388, World Scientific Publishing Co. Pte. Ltd..
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