IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v57y2006i12d10.1057_palgrave.jors.2602129.html
   My bibliography  Save this article

An enhanced goal programming method for generating priority vectors

Author

Listed:
  • C-C Lin

    (Kun-Shan University, Tainan)

Abstract

Generating priority vectors from pairwise comparison matrices is an essential part of the analytical hierarchy process. Besides the well-known right eigenvector method and the logarithmic least squares method, Bryson proposed a goal programming method (GPM) for achieving the above. Although the GPM always obtains an optimal solution, this study shows the existence of concealed alternative optimal solutions that might lead to different priority vectors. This study proposed a GPM for overcoming the problem of alternative optimal solution. In contrast with the GPM, the proposed method obtains a unique optimal solution and performs better in various aspects.

Suggested Citation

  • C-C Lin, 2006. "An enhanced goal programming method for generating priority vectors," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1491-1496, December.
  • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:12:d:10.1057_palgrave.jors.2602129
    DOI: 10.1057/palgrave.jors.2602129
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2602129
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.jors.2602129?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. Golany, B. & Kress, M., 1993. "A multicriteria evaluation of methods for obtaining weights from ratio-scale matrices," European Journal of Operational Research, Elsevier, vol. 69(2), pages 210-220, September.
    2. Zahedi, Fatemeh, 1986. "A simulation study of estimation methods in the analytic hierarchy process," Socio-Economic Planning Sciences, Elsevier, vol. 20(6), pages 347-354.
    3. Fichtner, John, 1986. "On deriving priority vectors from matrices of pairwise comparisons," Socio-Economic Planning Sciences, Elsevier, vol. 20(6), pages 341-345.
    4. Lootsma, F. A., 1996. "A model for the relative importance of the criteria in the Multiplicative AHP and SMART," European Journal of Operational Research, Elsevier, vol. 94(3), pages 467-476, November.
    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. Kevin Kam Fung Yuen, 2014. "The Least Penalty Optimization Prioritization Operators for the Analytic Hierarchy Process: A Revised Case of Medical Decision Problem of Organ Transplantation," Systems Engineering, John Wiley & Sons, vol. 17(4), pages 442-461, December.

    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. Kevin Kam Fung Yuen, 2014. "The Least Penalty Optimization Prioritization Operators for the Analytic Hierarchy Process: A Revised Case of Medical Decision Problem of Organ Transplantation," Systems Engineering, John Wiley & Sons, vol. 17(4), pages 442-461, December.
    2. D F Jones & S J Mardle, 2004. "A distance-metric methodology for the derivation of weights from a pairwise comparison matrix," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 869-875, August.
    3. József Temesi, 2011. "Pairwise comparison matrices and the error-free property of the decision maker," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(2), pages 239-249, June.
    4. Lin, Chang-Chun, 2007. "A revised framework for deriving preference values from pairwise comparison matrices," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1145-1150, January.
    5. MacKay, David B. & Bowen, William M. & Zinnes, Joseph L., 1996. "A Thurstonian view of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 89(2), pages 427-444, March.
    6. Bozóki, Sándor & Fülöp, János, 2018. "Efficient weight vectors from pairwise comparison matrices," European Journal of Operational Research, Elsevier, vol. 264(2), pages 419-427.
    7. András Farkas & Pál Rózsa, 2013. "A recursive least-squares algorithm for pairwise comparison matrices," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(4), pages 817-843, December.
    8. Bice Cavallo, 2019. "Coherent weights for pairwise comparison matrices and a mixed-integer linear programming problem," Journal of Global Optimization, Springer, vol. 75(1), pages 143-161, September.
    9. Tofallis, Chris, 2020. "Which formula for national happiness?," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    10. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.
    11. D'ora Gr'eta Petr'oczy & L'aszl'o Csat'o, 2019. "Revenue allocation in Formula One: a pairwise comparison approach," Papers 1909.12931, arXiv.org, revised Dec 2020.
    12. Pérez-Mesa, Juan Carlos & Galdeano-Gómez, Emilio & Salinas Andújar, Jose A., 2012. "Logistics network and externalities for short sea transport: An analysis of horticultural exports from southeast Spain," Transport Policy, Elsevier, vol. 24(C), pages 188-198.
    13. Lundy, Michele & Siraj, Sajid & Greco, Salvatore, 2017. "The mathematical equivalence of the “spanning tree” and row geometric mean preference vectors and its implications for preference analysis," European Journal of Operational Research, Elsevier, vol. 257(1), pages 197-208.
    14. Laininen, Pertti & Hamalainen, Raimo P., 2003. "Analyzing AHP-matrices by regression," European Journal of Operational Research, Elsevier, vol. 148(3), pages 514-524, August.
    15. Hartvigsen, David, 2005. "Representing the strengths and directions of pairwise comparisons," European Journal of Operational Research, Elsevier, vol. 163(2), pages 357-369, June.
    16. Hahn, Eugene D., 2006. "Link function selection in stochastic multicriteria decision making models," European Journal of Operational Research, Elsevier, vol. 172(1), pages 86-100, July.
    17. Wade D. Cook & Tal Raviv & Alan J. Richardson, 2010. "Aggregating Incomplete Lists of Journal Rankings: An Application to Academic Accounting Journals," Accounting Perspectives, John Wiley & Sons, vol. 9(3), pages 217-235, September.
    18. Kim, Deok-Hwan & Kim, Kwang-Jae & Sam Park, K., 2010. "Compromising prioritization from pairwise comparisons considering type I and II errors," European Journal of Operational Research, Elsevier, vol. 204(2), pages 285-293, July.
    19. Sándor Bozóki, 2008. "Solution of the least squares method problem of pairwise comparison matrices," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 16(4), pages 345-358, December.
    20. Cox, Anna M. & Alwang, Jeffrey Roger & Johnson, Thomas G., 1998. "Community Preferences For Types Of Businesses: A Case Study Of Three Counties," Report Papers 14856, Virginia Tech, Rural Economic Analysis Program (REAP).

    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:pal:jorsoc:v:57:y:2006:i:12:d:10.1057_palgrave.jors.2602129. 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.palgrave-journals.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.