IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v99y1998i3d10.1023_a1021755117744.html
   My bibliography  Save this article

Minimum Spanning Table and Optimal Expansion of Competence Set

Author

Listed:
  • J. W. Feng

    (Nanjing University of Science and Technology)

  • P. L. Yu

    (University of Kansas)

Abstract

Each directed graph with asymmetric costs defined over its arcs can be represented by a matrix or table, called an expansion table. We explore first the basic properties of cycles and spanning tables of expansion tables, which correspond to the cycles and spanning trees of the directed graph. Then, we derive an algorithm to find a minimum spanning table which corresponds to a minimum spanning tree in the directed graph. Finally, we discuss how to use the algorithm to find the optimal competence set expansion and also discuss related problems.

Suggested Citation

  • J. W. Feng & P. L. Yu, 1998. "Minimum Spanning Table and Optimal Expansion of Competence Set," Journal of Optimization Theory and Applications, Springer, vol. 99(3), pages 655-679, December.
  • Handle: RePEc:spr:joptap:v:99:y:1998:i:3:d:10.1023_a:1021755117744
    DOI: 10.1023/A:1021755117744
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1021755117744
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1023/A:1021755117744?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Po L. & Zhang, Dazhi, 1990. "A foundation for competence set analysis," Mathematical Social Sciences, Elsevier, vol. 20(3), pages 251-299, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Ruey-Shun & Lu, Kun-Yung & Tai, Pei-Hao, 2004. "Optimizing assembly planning through a three-stage integrated approach," International Journal of Production Economics, Elsevier, vol. 88(3), pages 243-256, April.
    2. Po-Lung Yu & Yen-Chu Chen, 2012. "Dynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamics," Annals of Operations Research, Springer, vol. 197(1), pages 201-220, August.
    3. Shoubin Qi & Junwen Feng, 2018. "A Revised Minimum Spanning Table Method for Expanding Competence Sets," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 7(2), pages 40-45, June.
    4. Kushtina, Emma & Zaikin, Oleg & Rzewski, Przemyslaw & Malachowski, Bartlomiej, 2009. "Cost estimation algorithm and decision-making model for curriculum modification in educational organization," European Journal of Operational Research, Elsevier, vol. 197(2), pages 752-763, September.
    5. Chen, Ting-Yu, 2002. "Expanding competence sets for the consumer decision problem," European Journal of Operational Research, Elsevier, vol. 138(3), pages 622-648, May.

    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. Serafim Opricovic, 2009. "A Compromise Solution in Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1549-1561, June.
    2. Tan, Kim Hua & Zhan, YuanZhu & Ji, Guojun & Ye, Fei & Chang, Chingter, 2015. "Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph," International Journal of Production Economics, Elsevier, vol. 165(C), pages 223-233.
    3. Jih-Jeng Huang & Chin-Yi Chen, 2024. "Measure-Theoretic Analysis of Stochastic Competence Sets and Dynamic Shapley Values in Banach Spaces," Mathematics, MDPI, vol. 12(19), pages 1-18, October.
    4. Chi-Yo Huang & Jih-Jeng Huang & You-Ning Chang & Yen-Chu Lin, 2021. "A Fuzzy-MOP-Based Competence Set Expansion Method for Technology Roadmap Definitions," Mathematics, MDPI, vol. 9(2), pages 1-26, January.
    5. Zhan, Yuanzhu & Tan, Kim Hua, 2020. "An analytic infrastructure for harvesting big data to enhance supply chain performance," European Journal of Operational Research, Elsevier, vol. 281(3), pages 559-574.
    6. Shoubin Qi & Junwen Feng, 2018. "A Revised Minimum Spanning Table Method for Expanding Competence Sets," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 7(2), pages 40-45, June.
    7. D. S. Shi & P. L. Yu, 1999. "Optimal Expansion of Competence Sets with Intermediate Skills and Compound Nodes," Journal of Optimization Theory and Applications, Springer, vol. 102(3), pages 643-657, September.
    8. Chen, Ting-Yu, 2002. "Expanding competence sets for the consumer decision problem," European Journal of Operational Research, Elsevier, vol. 138(3), pages 622-648, May.
    9. Chen, Ting-Yu, 2001. "Using competence sets to analyze the consumer decision problem," European Journal of Operational Research, Elsevier, vol. 128(1), pages 98-118, January.
    10. Tzeng, Gwo-Hshiung & Chen, Ting-Yu & Wang, Jih-Chang, 1998. "A weight-assessing method with habitual domains," European Journal of Operational Research, Elsevier, vol. 110(2), pages 342-367, October.
    11. Po-Lung Yu & Yen-Chu Chen, 2012. "Dynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamics," Annals of Operations Research, Springer, vol. 197(1), pages 201-220, August.
    12. Li, Jian-Ming & Chiang, Chin-I & Yu, Po-Lung, 2000. "Optimal multiple stage expansion of competence set," European Journal of Operational Research, Elsevier, vol. 120(3), pages 511-524, February.
    13. Moussa Larbani & Po Lung Yu, 2012. "Decision Making and Optimization in Changeable Spaces, a New Paradigm," Journal of Optimization Theory and Applications, Springer, vol. 155(3), pages 727-761, December.
    14. Kuan-Wei Huang & Jen-Hung Huang & Gwo-Hshiung Tzeng, 2016. "New Hybrid Multiple Attribute Decision-Making Model for Improving Competence Sets: Enhancing a Company’s Core Competitiveness," Sustainability, MDPI, vol. 8(2), pages 1-26, February.
    15. Kushtina, Emma & Zaikin, Oleg & Rzewski, Przemyslaw & Malachowski, Bartlomiej, 2009. "Cost estimation algorithm and decision-making model for curriculum modification in educational organization," European Journal of Operational Research, Elsevier, vol. 197(2), pages 752-763, September.

    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:spr:joptap:v:99:y:1998:i:3:d:10.1023_a:1021755117744. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.