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XML-Based Schemes for Business Project Portfolio Selection

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Data Mining and Knowledge Management (CASDMKM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3327))

Abstract

Many methodologies have been introduced to deal with project portfolio selection problem including some techniques that help to evaluate individual projects, or to select a portfolio among available projects. This paper, however, provides several XML-based schemes for building efficient and flexible project portfolio selection systems based on an integrated portfolio selection model proposed. In additional to provide an interactive and adaptable portfolio selection management framework for the organizations, we also stress the use of XML to standardize the data representation for developing Webbased decision support systems with heterogeneous data sources and multiple decision models.

Supported by NSFC, CAS, RGC of Hong Kong and Foundation of GSCAS (yzjj 200307).

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Author information

Authors and Affiliations

  1. GS School of Management, Chinese Academy of Science, Beijing, 100039, China

    Jichang Dong

  2. Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong

    K. K. Lai

  3. Institute of Systems Science, Chinese Academy of Sciences, Beijing, 100080, China

    Shouyang Wang

Authors
  1. Jichang Dong
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  2. K. K. Lai
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  3. Shouyang Wang
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Editor information

Editors and Affiliations

  1. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100080, China; College of Information Science and Technology, University of Nebraska at Omaha, 68182, Omaha, NE, USA

    Yong Shi

  2. Institute of Policy & Management, Chinese Academy of Sciences, P.O. Box, 100080, Beijing, P.R. China

    Weixuan Xu

  3. College of Information Science and Technology, University of Nebraska at Omaha, 68182, NE, USA

    Zhengxin Chen

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© 2004 Springer-Verlag Berlin Heidelberg

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Dong, J., Lai, K.K., Wang, S. (2004). XML-Based Schemes for Business Project Portfolio Selection. In: Shi, Y., Xu, W., Chen, Z. (eds) Data Mining and Knowledge Management. CASDMKM 2004. Lecture Notes in Computer Science(), vol 3327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30537-8_28

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  • DOI: https://doi.org/10.1007/978-3-540-30537-8_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23987-1

  • Online ISBN: 978-3-540-30537-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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