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Multiple Objective Linear Programming To Analyze And Classify Business Information

In: New Frontiers Of Decision Making For The Information Technology Era

Author

Listed:
  • CHIEN-HSIUNG LIN

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

  • KHALID J. SIDDIQUI

    (Department of Mathematics and Computer Science, SUNY at Fredonia, Fredonia, NY 14063, USA)

  • YI-HSIN LIU

    (Department of Mathematics, University of Nebraska at Omaha, Omaha, Nebraska 68182, USA)

Abstract

The multiple objective linear programming model is developed for the analysis and classification of business information. The model simultaneously optimizes several objectives subject to a set of given constraints. This model can be used to represent any pattern of behavior. The use of two objectives linear programming for classification and selection model is presented in applications of characteristics selection of object recognition problem in information systems.

Suggested Citation

  • 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..
    • Handle: RePEc:wsi:wschap:9789812792907_0020
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    Cited by:

    1. 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.

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